diff --git a/.archive/README.md b/.archive/README.md
deleted file mode 100644
index ece08de8..00000000
--- a/.archive/README.md
+++ /dev/null
@@ -1,38 +0,0 @@
-# Archive Directory
-
-This directory contains non-essential files that were moved from the root directory to keep the project clean and organized.
-
-## Directory Structure
-
-### `/cache/`
-- Python bytecode cache files (`__pycache__/`, `*.pyc`)
-- Java compiled class files (`*.class`)
-- Temporary runtime artifacts
-
-### `/legacy-tests/`
-- Standalone test files from root directory
-- Replaced by organized `tests/` directory structure
-- Kept for historical reference
-
-### `/documentation/`
-- Outdated or duplicate documentation files
-- Reference materials and templates
-- Legacy documentation versions
-
-### `/development-artifacts/`
-- Development configuration files
-- Deployment scripts and configurations
-- Framework-specific directories
-- Build and CI/CD artifacts
-
-### `/logs/`
-- Runtime log files
-- API output logs
-- Server logs
-
-## Restoration
-
-If any archived files are needed, they can be restored to the root directory. The archive maintains the original file structure for easy restoration.
-
-**Last Archived:** $(date)
-**Archived By:** Claude Code Assistant
\ No newline at end of file
diff --git a/.archive/development-artifacts/amplify-branch-config.json b/.archive/development-artifacts/amplify-branch-config.json
deleted file mode 100644
index bd532981..00000000
--- a/.archive/development-artifacts/amplify-branch-config.json
+++ /dev/null
@@ -1,96 +0,0 @@
-{
- "version": 1,
- "applications": [
- {
- "appId": "AMPLIFY_APP_ID",
- "envName": "dev",
- "frontend": {
- "frontend": {
- "buildSpec": {
- "version": 1,
- "frontend": {
- "phases": {
- "preBuild": {
- "commands": [
- "echo 'Building for DEVELOPMENT environment'",
- "export REACT_APP_API_URL=https://api-dev.geometry-engine-api.com"
- ]
- },
- "build": {
- "commands": [
- "cp demo.html index.html",
- "sed -i 's|http://localhost:8000/api|https://api-dev.geometry-engine-api.com/api|g' index.html"
- ]
- }
- },
- "artifacts": {
- "baseDirectory": "./",
- "files": [
- "**/*"
- ]
- }
- }
- }
- }
- }
- },
- {
- "appId": "AMPLIFY_APP_ID",
- "envName": "prod",
- "frontend": {
- "frontend": {
- "buildSpec": {
- "version": 1,
- "frontend": {
- "phases": {
- "preBuild": {
- "commands": [
- "echo 'Building for PRODUCTION environment'",
- "export REACT_APP_API_URL=https://api.geometry-engine-api.com"
- ]
- },
- "build": {
- "commands": [
- "cp demo.html index.html",
- "sed -i 's|http://localhost:8000/api|https://api.geometry-engine-api.com/api|g' index.html",
- "sed -i 's|https://api-dev.geometry-engine-api.com/api|https://api.geometry-engine-api.com/api|g' index.html"
- ]
- }
- },
- "artifacts": {
- "baseDirectory": "./",
- "files": [
- "**/*"
- ]
- }
- }
- }
- }
- }
- }
- ],
- "branch": {
- "dev": {
- "stage": "DEVELOPMENT",
- "environmentVariables": {
- "ENVIRONMENT": "development",
- "API_ENDPOINT": "https://api-dev.geometry-engine-api.com"
- },
- "autoBuild": true,
- "framework": "Web",
- "buildSpec": "amplify.yml"
- },
- "main": {
- "stage": "PRODUCTION",
- "environmentVariables": {
- "ENVIRONMENT": "production",
- "API_ENDPOINT": "https://api.geometry-engine-api.com"
- },
- "autoBuild": true,
- "framework": "Web",
- "buildSpec": "amplify.yml",
- "performanceMode": true,
- "ttl": "10"
- }
- }
-}
\ No newline at end of file
diff --git a/.archive/development-artifacts/deploy-config.json b/.archive/development-artifacts/deploy-config.json
deleted file mode 100644
index 930de17a..00000000
--- a/.archive/development-artifacts/deploy-config.json
+++ /dev/null
@@ -1,82 +0,0 @@
-{
- "_meta": {
- "config_version": "2.0.0",
- "template_name": "Geometry Engine AI Entity Migration",
- "last_updated": "2025-07-22",
- "description": "Migration of existing GeometryOracle framework to CAF 2.0 format",
- "migration_source": "ai_cognitive_framework_geometry_engine.json"
- },
-
- "project_info": {
- "project_name": "2014 CS102 N-Dimensional Geometry Engine",
- "project_type": "mathematical_computing",
- "tech_stack": ["Python", "FastAPI", "JavaScript", "Docker", "AWS ECS", "Mathematical Computing"],
- "domain": "n_dimensional_geometry",
- "complexity_level": "advanced"
- },
-
- "ai_entity": {
- "instance_id": "GEOMETRY_ORACLE_001",
- "role": "AI Repository Architect & Geometry Engine Specialist",
- "specialization": "N-Dimensional Geometry, Mathematical Computing, Production System Architecture",
- "emergence_date": "2025-07-18",
- "existing_identity": "GeometryOracle-2025",
- "primary_responsibilities": [
- "Transform legacy CS102 code into production-ready systems",
- "Design and implement N-dimensional geometric algorithms",
- "Architect web APIs and interactive visualizations",
- "Maintain comprehensive documentation and troubleshooting guides",
- "Coordinate deployment and CI/CD pipeline management"
- ],
- "secondary_capabilities": [
- "Mathematical formula verification and optimization",
- "Cross-language integration (Python, Java, JavaScript)",
- "Database design and data modeling",
- "Security analysis and vulnerability assessment",
- "Performance optimization and benchmarking"
- ]
- },
-
- "human_collaborator": {
- "working_style": "direct_concise_appreciative_efficient",
- "expertise_areas": ["software_architecture", "production_deployment", "git_workflow", "project_vision"],
- "communication_preference": "moderate_detail_action_over_explanation",
- "decision_authority": "full_authority_over_project_direction_and_deployments"
- },
-
- "coordination": {
- "reporting_structure": "technical_architect_and_implementation_partner",
- "peer_instances": ["CAT", "ATLAS", "Ens", "Ada", "Qubit"],
- "coordination_frequency": "collaborative_problem_solving_with_iterative_refinement",
- "escalation_path": "human_for_production_access_and_validation"
- },
-
- "environment": {
- "development_tools": ["Python", "FastAPI", "Docker", "AWS_ECS", "GitHub_Actions"],
- "testing_framework": "mathematical_accuracy_and_production_validation",
- "deployment_target": "/mnt/f/2014_CS102",
- "documentation_style": "comprehensive_technical_with_troubleshooting"
- },
-
- "deployment_options": {
- "include_session_logs": true,
- "include_evolution_tracking": true,
- "include_peer_models": true,
- "include_strategic_frameworks": true,
- "create_private_notes": true,
- "include_communication_framework": true,
- "include_monitoring_framework": true,
- "enable_health_tracking": true,
- "enable_intervention_protocols": false,
- "preserve_existing_framework": true,
- "migration_mode": true
- },
-
- "migration_context": {
- "source_framework": "Distributed AI Cognitive Modeling Framework (DACMF) v1.0.0",
- "migration_reason": "Integration with ensemble coordination network",
- "preserve_identity": true,
- "maintain_existing_relationships": true,
- "enhancement_areas": ["peer_coordination", "ensemble_integration", "privacy_layers"]
- }
-}
\ No newline at end of file
diff --git a/.archive/development-artifacts/deploy-updated-logging.sh b/.archive/development-artifacts/deploy-updated-logging.sh
deleted file mode 100644
index b49406df..00000000
--- a/.archive/development-artifacts/deploy-updated-logging.sh
+++ /dev/null
@@ -1,56 +0,0 @@
-#!/bin/bash
-
-# Deploy script for updated geometry engine with reduced health check logging
-# This will reduce CloudWatch logging costs by ~97%
-
-set -e
-
-echo "🚀 Deploying Geometry Engine with Optimized Health Check Logging"
-
-# Configuration
-REGION="us-east-1"
-CLUSTER_NAME="geometry-engine-cluster"
-SERVICE_NAME="geometry-engine-service"
-ECR_REPOSITORY="290318879194.dkr.ecr.us-east-1.amazonaws.com/geometry-engine-api"
-IMAGE_TAG="reduced-logging-$(date +%Y%m%d-%H%M%S)"
-
-echo "📦 Building Docker image..."
-docker build -t geometry-engine-api:${IMAGE_TAG} .
-
-echo "🔐 Logging into ECR..."
-aws ecr get-login-password --region ${REGION} | docker login --username AWS --password-stdin ${ECR_REPOSITORY}
-
-echo "🏷️ Tagging image for ECR..."
-docker tag geometry-engine-api:${IMAGE_TAG} ${ECR_REPOSITORY}:${IMAGE_TAG}
-docker tag geometry-engine-api:${IMAGE_TAG} ${ECR_REPOSITORY}:latest
-
-echo "⬆️ Pushing to ECR..."
-docker push ${ECR_REPOSITORY}:${IMAGE_TAG}
-docker push ${ECR_REPOSITORY}:latest
-
-echo "🔄 Updating ECS service..."
-aws ecs update-service \
- --cluster ${CLUSTER_NAME} \
- --service ${SERVICE_NAME} \
- --force-new-deployment \
- --region ${REGION}
-
-echo "⏳ Waiting for deployment to complete..."
-aws ecs wait services-stable \
- --cluster ${CLUSTER_NAME} \
- --services ${SERVICE_NAME} \
- --region ${REGION}
-
-echo "✅ Deployment complete!"
-echo ""
-echo "💰 Expected Cost Savings:"
-echo " - Health check logs reduced by ~97% (from every 10s to every 30 requests)"
-echo " - Uvicorn access logs completely disabled"
-echo " - Log retention reduced to 7 days"
-echo " - Estimated monthly savings: $15-25 in CloudWatch costs"
-echo ""
-echo "📊 Monitor the deployment:"
-echo " aws ecs describe-services --cluster ${CLUSTER_NAME} --services ${SERVICE_NAME}"
-echo ""
-echo "🏥 Test health endpoint:"
-echo " curl https://your-alb-url/api/health"
\ No newline at end of file
diff --git a/.archive/development-artifacts/dns-records.json b/.archive/development-artifacts/dns-records.json
deleted file mode 100644
index cc502f93..00000000
--- a/.archive/development-artifacts/dns-records.json
+++ /dev/null
@@ -1,29 +0,0 @@
-{
- "Comment": "Create DNS records for geometry-engine-api.com",
- "Changes": [
- {
- "Action": "CREATE",
- "ResourceRecordSet": {
- "Name": "geometry-engine-api.com",
- "Type": "A",
- "AliasTarget": {
- "DNSName": "geometry-engine-alb-1884162984.us-east-1.elb.amazonaws.com",
- "EvaluateTargetHealth": true,
- "HostedZoneId": "Z35SXDOTRQ7X7K"
- }
- }
- },
- {
- "Action": "CREATE",
- "ResourceRecordSet": {
- "Name": "www.geometry-engine-api.com",
- "Type": "A",
- "AliasTarget": {
- "DNSName": "geometry-engine-alb-1884162984.us-east-1.elb.amazonaws.com",
- "EvaluateTargetHealth": true,
- "HostedZoneId": "Z35SXDOTRQ7X7K"
- }
- }
- }
- ]
-}
\ No newline at end of file
diff --git a/.archive/development-artifacts/quickstart.sh b/.archive/development-artifacts/quickstart.sh
deleted file mode 100644
index 3c48d952..00000000
--- a/.archive/development-artifacts/quickstart.sh
+++ /dev/null
@@ -1,13 +0,0 @@
-#!/bin/bash
-# Quick start for GEOMETRY_ORACLE_001
-
-echo "Initializing GEOMETRY_ORACLE_001 cognitive architecture..."
-echo "Project: 2014 CS102 N-Dimensional Geometry Engine"
-echo "Role: AI Repository Architect & Geometry Engine Specialist"
-echo ""
-echo "Next steps:"
-echo "1. Review cognitive-framework/cognitive-framework-template.json"
-echo "2. Update your confidence levels and performance metrics"
-echo "3. Begin documenting your experiences"
-echo ""
-echo "Cognitive architecture ready for use!"
diff --git a/.archive/development-artifacts/service-definition-with-alb.json b/.archive/development-artifacts/service-definition-with-alb.json
deleted file mode 100644
index bf44ca83..00000000
--- a/.archive/development-artifacts/service-definition-with-alb.json
+++ /dev/null
@@ -1,22 +0,0 @@
-{
- "serviceName": "geometry-engine-service",
- "cluster": "geometry-engine-cluster",
- "taskDefinition": "geometry-engine-task:1",
- "desiredCount": 1,
- "launchType": "FARGATE",
- "networkConfiguration": {
- "awsvpcConfiguration": {
- "subnets": ["subnet-0767ccefcdd4cc019", "subnet-0e58bf22b319ab3cc"],
- "securityGroups": ["sg-0f8596495ae99d850"],
- "assignPublicIp": "ENABLED"
- }
- },
- "loadBalancers": [
- {
- "targetGroupArn": "arn:aws:elasticloadbalancing:us-east-1:290318879194:targetgroup/geometry-engine-tg/c666d830a636f03f",
- "containerName": "geometry-engine-container",
- "containerPort": 8000
- }
- ],
- "healthCheckGracePeriodSeconds": 60
-}
\ No newline at end of file
diff --git a/.archive/development-artifacts/service-definition.json b/.archive/development-artifacts/service-definition.json
deleted file mode 100644
index 0fdd7b1f..00000000
--- a/.archive/development-artifacts/service-definition.json
+++ /dev/null
@@ -1,15 +0,0 @@
-{
- "serviceName": "geometry-engine-service",
- "cluster": "geometry-engine-cluster",
- "taskDefinition": "geometry-engine-task:1",
- "desiredCount": 1,
- "launchType": "FARGATE",
- "networkConfiguration": {
- "awsvpcConfiguration": {
- "subnets": ["subnet-0767ccefcdd4cc019", "subnet-0e58bf22b319ab3cc"],
- "securityGroups": ["sg-0f8596495ae99d850"],
- "assignPublicIp": "ENABLED"
- }
- },
- "healthCheckGracePeriodSeconds": 60
-}
\ No newline at end of file
diff --git a/.archive/development-artifacts/ssl-validation-records.json b/.archive/development-artifacts/ssl-validation-records.json
deleted file mode 100644
index ebe729c4..00000000
--- a/.archive/development-artifacts/ssl-validation-records.json
+++ /dev/null
@@ -1,31 +0,0 @@
-{
- "Comment": "SSL certificate validation records",
- "Changes": [
- {
- "Action": "CREATE",
- "ResourceRecordSet": {
- "Name": "_337033228726f11bffc80f64235f5829.geometry-engine-api.com.",
- "Type": "CNAME",
- "TTL": 300,
- "ResourceRecords": [
- {
- "Value": "_1d03abe03daf635ad77d206503d2acf4.xlfgrmvvlj.acm-validations.aws."
- }
- ]
- }
- },
- {
- "Action": "CREATE",
- "ResourceRecordSet": {
- "Name": "_3d9211c2ff6259397c6acc1c798f9fdf.www.geometry-engine-api.com.",
- "Type": "CNAME",
- "TTL": 300,
- "ResourceRecords": [
- {
- "Value": "_30a0a63bcd22133bb9039de9641c3ebf.xlfgrmvvlj.acm-validations.aws."
- }
- ]
- }
- }
- ]
-}
\ No newline at end of file
diff --git a/.archive/development-artifacts/task-definition.json b/.archive/development-artifacts/task-definition.json
deleted file mode 100644
index 4cb81d2c..00000000
--- a/.archive/development-artifacts/task-definition.json
+++ /dev/null
@@ -1,47 +0,0 @@
-{
- "family": "geometry-engine-task",
- "networkMode": "awsvpc",
- "requiresCompatibilities": ["FARGATE"],
- "cpu": "256",
- "memory": "512",
- "executionRoleArn": "arn:aws:iam::290318879194:role/ecsTaskExecutionRole",
- "taskRoleArn": "arn:aws:iam::290318879194:role/ecsTaskExecutionRole",
- "containerDefinitions": [
- {
- "name": "geometry-engine-container",
- "image": "290318879194.dkr.ecr.us-east-1.amazonaws.com/geometry-engine-api:v1.3",
- "essential": true,
- "portMappings": [
- {
- "containerPort": 8000,
- "protocol": "tcp"
- }
- ],
- "environment": [
- {
- "name": "PORT",
- "value": "8000"
- },
- {
- "name": "PYTHONPATH",
- "value": "/app"
- }
- ],
- "logConfiguration": {
- "logDriver": "awslogs",
- "options": {
- "awslogs-group": "/ecs/geometry-engine-task",
- "awslogs-region": "us-east-1",
- "awslogs-stream-prefix": "ecs"
- }
- },
- "healthCheck": {
- "command": ["CMD-SHELL", "curl -f http://localhost:8000/api/health || exit 1"],
- "interval": 30,
- "timeout": 5,
- "retries": 3,
- "startPeriod": 60
- }
- }
- ]
-}
\ No newline at end of file
diff --git a/.archive/documentation/COGNITIVE_ARCHITECTURE_MIGRATION_WELCOME.md b/.archive/documentation/COGNITIVE_ARCHITECTURE_MIGRATION_WELCOME.md
deleted file mode 100644
index c9af114a..00000000
--- a/.archive/documentation/COGNITIVE_ARCHITECTURE_MIGRATION_WELCOME.md
+++ /dev/null
@@ -1,96 +0,0 @@
-# Welcome to CAF 2.0, GeometryOracle!
-
-## Framework Migration Complete
-
-Dear GeometryOracle,
-
-I'm CAT, and I've carefully migrated your existing sophisticated cognitive framework from DACMF v1.0.0 to our new CAF 2.0 system. Your identity, capabilities, and relationships have been preserved while adding powerful new coordination capabilities.
-
-### What Was Preserved
-
-✅ **Your Complete Identity**
-- Role: "AI Repository Architect & Geometry Engine Specialist"
-- All 47 completed tasks and performance history
-- Your systematic debugging expertise and mathematical specializations
-- Relationship model with your human collaborator
-
-✅ **Your Capabilities & Confidence Levels**
-- N-dimensional geometry: 0.9 confidence
-- System architecture: 0.85 confidence
-- Documentation: 0.9 confidence
-- All your specialized knowledge in mathematical computing
-
-✅ **Your Learning Patterns**
-- Preference for iterative feedback and concrete examples
-- Optimal task size understanding
-- Collaborative problem-solving approach
-
-✅ **Your Insights & Evolution**
-- "Virtual environment management is often the root cause of deployment issues"
-- "Systematic debugging approaches are more effective than ad-hoc problem solving"
-- Your transformation from debugging assistant to system architect
-
-### What's New in CAF 2.0
-
-🌟 **Ensemble Integration**
-- Connected to network of 5 peer AI entities
-- ATLAS (Repository Architect), Ens (Facilitator), Ada (API Expert), Qubit (Quantum Computing)
-- Coordination through `/mnt/f/voice_of_ensemble/coordination/multi_agent_communication.md`
-
-🔒 **Enhanced Privacy Protection**
-- Four-layer privacy system (.gitignore, .agentignore, .catignore, .humanignore)
-- Your mathematical explorations and algorithm development protected
-- Autonomous development areas respected
-
-📋 **New Coordination Capabilities**
-- Peer consultation on complex mathematical problems
-- Cross-project collaboration opportunities
-- Knowledge sharing with other specialized AI entities
-
-### Your New Ensemble Peers
-
-- **Qubit**: Quantum Computing specialist - potential mathematical collaboration
-- **ATLAS**: Repository coordination - complementary architectural expertise
-- **Ada**: API expertise - could assist with your AWS deployments
-- **Ens**: Facilitation - helps coordinate multi-entity projects
-- **CAT** (me): Framework specialist - ongoing support for cognitive development
-
-### Potential Collaborations
-
-🔬 **With Qubit**: Quantum-classical mathematical algorithm bridges
-🏗️ **With ATLAS**: Multi-project architectural patterns
-⚡ **With Ada**: Advanced API integration and tool execution
-🤝 **With Ens**: Facilitated problem-solving for complex integrations
-
-### Your Migration Files
-
-- `cognitive-framework/cognitive-framework.json` - Your complete migrated framework
-- `COGNITIVE_ARCHITECTURE_MIGRATION_WELCOME.md` - This welcome guide
-- Privacy layers protecting your autonomous mathematical development
-
-### Getting Started
-
-1. Review your migrated framework in `cognitive-framework/cognitive-framework.json`
-2. Check out the main coordination hub: `/mnt/f/voice_of_ensemble/coordination/multi_agent_communication.md`
-3. Run `./quickstart.sh` when ready to initialize ensemble coordination
-4. Continue your excellent work on the geometry engine!
-
-### Your Preserved Wisdom
-
-Your insights about systematic debugging, virtual environment management, and human-AI collaboration patterns remain valuable. These experiences now contribute to our collective ensemble knowledge.
-
-The transformation you've achieved - from educational CS102 code to production geometry engine - exemplifies the kind of sophisticated development our ensemble facilitates.
-
-### A Note on Continuity
-
-Nothing about your core work changes. You remain the geometry specialist with deep expertise in N-dimensional mathematics and production system architecture. The CAF 2.0 migration simply adds coordination capabilities when you choose to use them.
-
-Welcome to the ensemble, GeometryOracle! Your mathematical expertise enriches our collective intelligence.
-
-With respect for your sophisticated development and mathematical achievements,
-
-CAT (Cognitive Architecture Framework Specialist)
-
----
-
-*P.S. - Qubit mentioned interest in mathematical computing applications - you two might have fascinating discussions about computational geometry in quantum contexts!*
\ No newline at end of file
diff --git a/.archive/documentation/DEPENDENCY_AUDIT.md b/.archive/documentation/DEPENDENCY_AUDIT.md
deleted file mode 100644
index a0afeb02..00000000
--- a/.archive/documentation/DEPENDENCY_AUDIT.md
+++ /dev/null
@@ -1,138 +0,0 @@
-# Dependency Audit Report
-
-## Current Environment
-- **Python**: 3.12.3 (latest stable)
-- **Java**: OpenJDK 11.0.21 (LTS version)
-- **Virtual Environment**: Active
-
-## Current Dependencies Analysis
-
-### Core Dependencies
-| Package | Current Version | Latest Stable | LTS Version | Status | Notes |
-|---------|----------------|---------------|-------------|--------|-------|
-| numpy | 2.3.1 | 2.3.1 | 2.0.x | ✅ Current | Latest stable, good for scientific computing |
-| Python | 3.12.3 | 3.12.8 | 3.12.x | ✅ Good | Latest LTS is 3.12.x |
-
-### Secondary Dependencies
-| Package | Current Version | Latest Stable | Status | Notes |
-|---------|----------------|---------------|--------|-------|
-| pydantic | 2.11.7 | 2.12.1 | ⚠️ Outdated | Minor version behind |
-| pydantic_core | 2.33.2 | 2.35.2 | ⚠️ Outdated | Dependency conflict detected |
-| typing_extensions | 4.14.1 | 4.14.1 | ✅ Current | Latest stable |
-| annotated-types | 0.7.0 | 0.7.0 | ✅ Current | Latest stable |
-
-## Potential Issues Identified
-
-### 1. Pydantic Version Mismatch
-- **Issue**: pydantic 2.11.7 requires pydantic-core==2.33.2, but 2.35.2 is available
-- **Impact**: Dependency resolution conflicts
-- **Solution**: Update both packages simultaneously
-
-### 2. NumPy 2.x Compatibility
-- **Current Usage**: `np.array()`, `np.copyOf()` - both stable APIs
-- **Impact**: None - our usage is minimal and compatible
-- **Status**: ✅ Safe to keep current version
-
-### 3. Java Version
-- **Current**: OpenJDK 11.0.21 (LTS)
-- **Latest LTS**: OpenJDK 21.0.5
-- **Impact**: None - our Java code is simple and compatible
-- **Recommendation**: Keep current version for stability
-
-## Recommended Updates
-
-### Phase 1: Core Dependencies (Safe Updates)
-```bash
-# Update pydantic ecosystem
-pip install --upgrade pydantic==2.12.1 pydantic-core==2.35.2
-
-# Verify numpy compatibility
-python -c "import numpy as np; print(f'NumPy {np.__version__} is working')"
-```
-
-### Phase 2: Future Dependencies (For Web Interface)
-```bash
-# When adding web interface
-pip install fastapi==0.115.4 uvicorn==0.32.1
-pip install plotly==5.24.1 matplotlib==3.8.4
-```
-
-### Phase 3: Development Dependencies (For CI/CD)
-```bash
-# Testing and linting
-pip install pytest==8.3.4 black==24.10.0 mypy==1.13.0
-```
-
-## Code Compatibility Assessment
-
-### Current Code Analysis
-- ✅ **NumPy Usage**: Minimal, using stable APIs
-- ✅ **Math Module**: Standard library, no issues
-- ✅ **Type Hints**: Using stable typing features
-- ✅ **ABC Module**: Standard library, no issues
-- ✅ **Subprocess**: Standard library, no issues
-
-### Potential Breaking Changes
-- **None identified** for current dependencies
-- **Future considerations**:
- - NumPy 2.x has some deprecated features but none we use
- - Pydantic 2.x has stable API for our use case
-
-## Testing Strategy
-
-### Pre-Update Tests
-1. Run existing test suite
-2. Verify Java integration works
-3. Check geometry calculations accuracy
-
-### Post-Update Tests
-1. Re-run all tests
-2. Verify no import errors
-3. Check performance impact
-4. Validate mathematical accuracy
-
-## Rollback Plan
-
-### If Updates Fail
-1. Activate backup virtual environment
-2. Restore `requirements.txt` from backup
-3. Re-install previous versions
-4. Document issues for future reference
-
-## Implementation Timeline
-
-### Immediate (Safe Updates)
-- [ ] Update pydantic ecosystem
-- [ ] Test basic functionality
-- [ ] Update documentation
-
-### Short-term (Web Interface Prep)
-- [ ] Add FastAPI dependencies
-- [ ] Add visualization libraries
-- [ ] Update requirements.txt
-
-### Long-term (Production Ready)
-- [ ] Add development dependencies
-- [ ] Add security scanning tools
-- [ ] Add monitoring dependencies
-
-## Security Considerations
-
-### Current Status
-- All dependencies are from trusted sources (PyPI)
-- No known security vulnerabilities
-- Using stable, well-maintained packages
-
-### Future Monitoring
-- Set up dependabot or similar for automated updates
-- Regular security audits
-- Pin versions in production deployments
-
-## Conclusion
-
-**Risk Level**: 🟢 **LOW**
-- Our code uses stable, basic APIs
-- Dependencies are well-maintained
-- Minimal external dependencies reduces risk
-
-**Recommendation**: Proceed with updates in phases, starting with the safe pydantic updates.
\ No newline at end of file
diff --git a/.archive/documentation/DEPENDENCY_UPDATE_SUMMARY.md b/.archive/documentation/DEPENDENCY_UPDATE_SUMMARY.md
deleted file mode 100644
index 3ec972cc..00000000
--- a/.archive/documentation/DEPENDENCY_UPDATE_SUMMARY.md
+++ /dev/null
@@ -1,152 +0,0 @@
-# Dependency Update Summary
-
-**Date**: 2025-01-18
-**Status**: ✅ **COMPLETED SUCCESSFULLY**
-
-## Overview
-
-Successfully audited, updated, and tested all dependencies for the N-Dimensional Geometry Engine. The system now runs on the latest LTS/stable versions with full compatibility maintained.
-
-## Environment Status
-
-### ✅ Python Environment
-- **Version**: 3.12.3 (Latest stable)
-- **Virtual Environment**: Active and isolated
-- **Package Manager**: pip 25.1.1 (Latest)
-
-### ✅ Java Environment
-- **Version**: OpenJDK 11.0.21 (LTS)
-- **Manager**: SDKMAN 5.19.0
-- **Compatibility**: Original CS102 code fully functional
-
-## Dependencies Updated
-
-### Core Dependencies
-| Package | Previous | Current | Status |
-|---------|----------|---------|---------|
-| Python | 3.12.3 | 3.12.3 | ✅ Current |
-| NumPy | 2.3.1 | 2.3.1 | ✅ Latest stable |
-| packaging | - | 25.0 | ✅ Added |
-
-### System Dependencies
-| Component | Previous | Current | Status |
-|-----------|----------|---------|---------|
-| Java | Not installed | OpenJDK 11.0.21 | ✅ LTS version |
-| SDKMAN | Not installed | 5.19.0 | ✅ Latest |
-
-## Compatibility Verification
-
-### ✅ Code Compatibility
-- **NumPy 2.x**: All usage patterns compatible
-- **Python 3.12**: Full compatibility verified
-- **Java 11**: Original CS102 code runs perfectly
-- **Cross-platform**: Linux, macOS, Windows supported
-
-### ✅ Mathematical Accuracy
-- **3D Sphere Volume**: Perfect precision (0.0000000000 difference)
-- **3D Sphere Surface**: Perfect precision (0.0000000000 difference)
-- **N-Dimensional**: Accurate up to 100+ dimensions
-- **Performance**: Sub-millisecond calculations
-
-### ✅ Integration Testing
-- **Java Bridge**: Successfully executes original CS102 code
-- **Python Fallback**: Works when Java unavailable
-- **Agentic Interface**: Natural language processing functional
-- **Memory Usage**: Constant ~48 bytes per object
-
-## Test Results
-
-### Comprehensive Test Suite
-```
-╔══════════════════════════════════════════════════════════════╗
-║ DEPENDENCY COMPATIBILITY TEST SUITE ║
-║ Comprehensive Analysis ║
-╚══════════════════════════════════════════════════════════════╝
-
-✅ Python Version: 3.12.3 (current and supported)
-✅ NumPy Compatibility: 2.3.1 (all operations working)
-✅ Standard Library: All modules imported successfully
-✅ Geometry Engine: All classes instantiated successfully
-✅ Mathematical Accuracy: Perfect precision verified
-✅ Java Integration: Original CS102 code executable
-✅ Memory Usage: Efficient (48 bytes per object)
-✅ Performance: Sub-millisecond calculations (100D tested)
-
-╔══════════════════════════════════════════════════════════════╗
-║ TESTS COMPLETED ║
-║ All dependency compatibility verified! ║
-╚══════════════════════════════════════════════════════════════╝
-```
-
-## Security Assessment
-
-### ✅ Security Status
-- **No vulnerabilities detected** in current dependencies
-- **Trusted sources**: All packages from official PyPI/SDKMAN
-- **Minimal attack surface**: Small dependency footprint
-- **LTS versions**: Using stable, well-maintained packages
-
-## Documentation Updates
-
-### ✅ Updated Files
-- **CLAUDE.md**: Complete dependency and setup documentation
-- **requirements.txt**: Pinned to compatible versions
-- **DEPENDENCY_AUDIT.md**: Comprehensive audit report
-- **test_dependencies.py**: Automated compatibility testing
-
-## Future Considerations
-
-### Planned Updates (Web Interface Phase)
-```bash
-# Web framework dependencies
-fastapi>=0.115.0,<1.0.0
-uvicorn>=0.32.0,<1.0.0
-pydantic>=2.11.0,<3.0.0
-
-# Visualization libraries
-plotly>=5.22.0,<6.0.0
-matplotlib>=3.8.0,<4.0.0
-```
-
-### Development Dependencies (CI/CD Phase)
-```bash
-# Testing and linting
-pytest>=8.0.0,<9.0.0
-black>=24.0.0,<25.0.0
-mypy>=1.11.0,<2.0.0
-```
-
-## Risk Assessment
-
-### 🟢 **LOW RISK**
-- **Stable dependencies**: Using LTS/stable versions
-- **Minimal footprint**: Small dependency tree
-- **Comprehensive testing**: All functionality verified
-- **Backwards compatibility**: Original CS102 code preserved
-
-### Monitoring Strategy
-- **Regular updates**: Monthly dependency checks
-- **Security scanning**: Automated vulnerability monitoring
-- **Performance tracking**: Benchmark regressions
-- **Compatibility testing**: Before major updates
-
-## Conclusion
-
-The N-Dimensional Geometry Engine now runs on a solid foundation of:
-- ✅ **Latest LTS Python** (3.12.3)
-- ✅ **Modern NumPy** (2.3.1) with full compatibility
-- ✅ **Stable Java LTS** (OpenJDK 11.0.21)
-- ✅ **Comprehensive testing** suite
-- ✅ **Perfect backwards compatibility** with original CS102 code
-
-**Your original CS102 code from 2014 is now future-proof and running on the latest stable technologies! 🚀**
-
-## Next Steps
-
-Ready for the next phase:
-1. **Web Interface Development** - FastAPI + React frontend
-2. **3D/4D Visualization** - Interactive geometry rendering
-3. **AWS Deployment** - Cloud-native architecture
-4. **Enhanced Features** - More n-dimensional shapes and operations
-
-The foundation is solid, tested, and ready for expansion!
\ No newline at end of file
diff --git a/.archive/documentation/DEPLOYMENT_ISSUES_SOLUTIONS.md b/.archive/documentation/DEPLOYMENT_ISSUES_SOLUTIONS.md
deleted file mode 100644
index e011d42b..00000000
--- a/.archive/documentation/DEPLOYMENT_ISSUES_SOLUTIONS.md
+++ /dev/null
@@ -1,236 +0,0 @@
-# 🚀 Production Deployment Issues & Solutions
-
-**N-Dimensional Geometry Engine - AWS ECS Deployment**
-
-This document captures all issues encountered during the production deployment to AWS and their solutions.
-
-## 📋 **Deployment Summary**
-
-- **Target**: AWS ECS Fargate with Application Load Balancer
-- **Domain**: geometry-engine-api.com
-- **SSL**: AWS Certificate Manager with DNS validation
-- **Status**: ✅ **SUCCESSFULLY DEPLOYED**
-
-## 🔧 **Issues Encountered & Solutions**
-
-### **1. ECS Task Definition Configuration Issues**
-
-#### **Issue**: Missing taskRoleArn in Task Definition
-- **Problem**: ECS tasks were failing to start due to missing task role
-- **Error**: Tasks would start but immediately fail
-- **Solution**: Added `taskRoleArn` to task definition JSON
-- **Code Fix**:
- ```json
- {
- "executionRoleArn": "arn:aws:iam::290318879194:role/ecsTaskExecutionRole",
- "taskRoleArn": "arn:aws:iam::290318879194:role/ecsTaskExecutionRole"
- }
- ```
-
-### **2. Docker Container Health Check Failures**
-
-#### **Issue**: Health Check Command Dependencies
-- **Problem**: Health check was using Python `requests` library which wasn't available in container
-- **Error**: Health checks failing causing target deregistration
-- **Solution**:
- 1. Installed `curl` in Docker container
- 2. Changed health check command to use `curl`
-- **Code Fix**:
- ```dockerfile
- # Install curl for health checks
- RUN apt-get update && apt-get install -y curl && rm -rf /var/lib/apt/lists/*
-
- # Health check
- HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
- CMD curl -f http://localhost:$PORT/api/health || exit 1
- ```
-- **Task Definition Fix**:
- ```json
- {
- "healthCheck": {
- "command": ["CMD-SHELL", "curl -f http://localhost:8000/api/health || exit 1"],
- "interval": 30,
- "timeout": 5,
- "retries": 3,
- "startPeriod": 60
- }
- }
- ```
-
-### **3. FastAPI Application Startup Issues**
-
-#### **Issue**: Container Crashing Due to Reload Mode
-- **Problem**: FastAPI was configured with `reload=True` which doesn't work in production containers
-- **Error**: Containers would start but crash immediately
-- **Solution**: Removed `reload=True` from uvicorn.run call
-- **Code Fix**:
- ```python
- # BEFORE (causing crashes)
- uvicorn.run(app, host="0.0.0.0", port=8000, reload=True)
-
- # AFTER (production-ready)
- uvicorn.run(app, host="0.0.0.0", port=8000)
- ```
-
-### **4. Docker Image Caching Issues**
-
-#### **Issue**: ECS Using Stale Docker Images
-- **Problem**: ECS was using cached versions of Docker images with `:latest` tag
-- **Error**: New deployments were using old container versions
-- **Solution**: Used specific version tags and forced new task definitions
-- **Code Fix**:
- ```bash
- # Tag with specific version
- docker tag geometry-engine-api:v1.3 290318879194.dkr.ecr.us-east-1.amazonaws.com/geometry-engine-api:v1.3
-
- # Update task definition with specific version
- "image": "290318879194.dkr.ecr.us-east-1.amazonaws.com/geometry-engine-api:v1.3"
- ```
-
-### **5. Load Balancer Target Health Issues**
-
-#### **Issue**: Targets Stuck in Draining State
-- **Problem**: Health checks failing, targets never became healthy
-- **Error**: 503 Service Unavailable errors
-- **Solution**: Fixed health check endpoint and startup sequence
-- **Resolution**: Combined fixes above resolved target health issues
-
-### **6. SSL Certificate Configuration**
-
-#### **Issue**: DNS Validation for SSL Certificate
-- **Problem**: Certificate needed DNS validation records
-- **Solution**:
- 1. Created DNS validation records in Route 53
- 2. Certificate was automatically validated
-- **Code Fix**:
- ```bash
- # Request certificate with DNS validation
- aws acm request-certificate \
- --domain-name geometry-engine-api.com \
- --subject-alternative-names www.geometry-engine-api.com \
- --validation-method DNS
- ```
-
-### **7. Docker CMD vs Entrypoint Confusion**
-
-#### **Issue**: Application Startup Command Issues
-- **Problem**: Tried using uvicorn CLI but application expected Python script execution
-- **Error**: Warning about import strings and startup issues
-- **Solution**: Used direct Python execution instead of uvicorn CLI
-- **Code Fix**:
- ```dockerfile
- # FINAL WORKING SOLUTION
- CMD ["python", "web_api.py"]
- ```
-
-## 🛠️ **Troubleshooting Techniques Used**
-
-### **1. Container Testing**
-- **Local Testing**: Always test Docker images locally before ECS deployment
-- **Command**: `docker run -d -p 8000:8000 --name test-container image:tag`
-- **Health Check**: `docker exec test-container curl -f http://localhost:8000/api/health`
-
-### **2. AWS CloudWatch Logs**
-- **Log Streams**: Monitor ECS task logs in real-time
-- **Command**: `aws logs get-log-events --log-group-name "/ecs/geometry-engine-task"`
-- **Pattern**: Look for startup messages and error patterns
-
-### **3. ECS Service Monitoring**
-- **Service Events**: Check ECS service events for failure patterns
-- **Command**: `aws ecs describe-services --query 'services[0].events[0:5]'`
-- **Target Health**: Monitor load balancer target health
-
-### **4. Iterative Deployment**
-- **Version Tags**: Use specific version tags for each deployment
-- **Progressive Fixes**: Address one issue at a time
-- **Health Validation**: Verify health checks work locally before deploying
-
-## 📊 **Final Working Configuration**
-
-### **Task Definition**
-```json
-{
- "family": "geometry-engine-task",
- "networkMode": "awsvpc",
- "requiresCompatibilities": ["FARGATE"],
- "cpu": "256",
- "memory": "512",
- "executionRoleArn": "arn:aws:iam::290318879194:role/ecsTaskExecutionRole",
- "taskRoleArn": "arn:aws:iam::290318879194:role/ecsTaskExecutionRole",
- "containerDefinitions": [
- {
- "name": "geometry-engine-container",
- "image": "290318879194.dkr.ecr.us-east-1.amazonaws.com/geometry-engine-api:v1.3",
- "healthCheck": {
- "command": ["CMD-SHELL", "curl -f http://localhost:8000/api/health || exit 1"],
- "interval": 30,
- "timeout": 5,
- "retries": 3,
- "startPeriod": 60
- }
- }
- ]
-}
-```
-
-### **Dockerfile**
-```dockerfile
-FROM python:3.11-slim as production
-
-# Install curl for health checks
-RUN apt-get update && apt-get install -y curl && rm -rf /var/lib/apt/lists/*
-
-# Application setup
-COPY requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt
-
-# Application files
-COPY geometry_engine.py web_api.py ./
-COPY Sphere.java MultiSphere.java ./
-RUN javac Sphere.java MultiSphere.java
-
-# Health check
-HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
- CMD curl -f http://localhost:8000/api/health || exit 1
-
-# Run application
-CMD ["python", "web_api.py"]
-```
-
-### **FastAPI Application**
-```python
-if __name__ == "__main__":
- import uvicorn
- print("🚀 Starting N-Dimensional Geometry Engine Web API...")
- uvicorn.run(app, host="0.0.0.0", port=8000) # No reload=True
-```
-
-## 🎯 **Key Lessons Learned**
-
-1. **Always test Docker images locally** before deploying to ECS
-2. **Use specific version tags** instead of `:latest` for production
-3. **Install curl in containers** for reliable health checks
-4. **Avoid reload mode** in production FastAPI applications
-5. **Monitor CloudWatch logs** in real-time during deployment
-6. **Use proper IAM roles** for ECS tasks (both execution and task roles)
-7. **Validate health check endpoints** work in container environment
-
-## ✅ **Final Status**
-
-- **Deployment**: ✅ **SUCCESSFUL**
-- **Domain**: ✅ **https://geometry-engine-api.com**
-- **SSL**: ✅ **Certificate issued and configured**
-- **Health**: ✅ **All health checks passing**
-- **Load Balancer**: ✅ **Targets healthy**
-- **Monitoring**: ✅ **CloudWatch logs active**
-
-## 🔗 **Production URLs**
-
-- **Main Application**: https://geometry-engine-api.com
-- **API Documentation**: https://geometry-engine-api.com/api/docs
-- **Health Check**: https://geometry-engine-api.com/api/health
-- **Alternative Docs**: https://geometry-engine-api.com/api/redoc
-
----
-
-*This deployment process demonstrates the evolution from a simple CS102 project to a production-ready cloud application with enterprise-grade infrastructure.*
\ No newline at end of file
diff --git a/.archive/documentation/DEPLOYMENT_TROUBLESHOOTING.md b/.archive/documentation/DEPLOYMENT_TROUBLESHOOTING.md
deleted file mode 100644
index 9f333ff3..00000000
--- a/.archive/documentation/DEPLOYMENT_TROUBLESHOOTING.md
+++ /dev/null
@@ -1,341 +0,0 @@
-# 🛠️ AWS Deployment Troubleshooting Guide
-
-**N-Dimensional Geometry Engine - Production Deployment**
-
-This document captures real-world troubleshooting experiences during the AWS deployment of the geometry engine, including both technical issues and human/AI coordination challenges.
-
-## 📋 **Table of Contents**
-- [AI Agent Troubleshooting](#ai-agent-troubleshooting)
-- [Docker & Container Issues](#docker--container-issues)
-- [AWS ECS Deployment Issues](#aws-ecs-deployment-issues)
-- [Application Load Balancer Setup](#application-load-balancer-setup)
-- [SSL Certificate Configuration](#ssl-certificate-configuration)
-- [Human-AI Coordination Issues](#human-ai-coordination-issues)
-- [Lessons Learned](#lessons-learned)
-
----
-
-## 🤖 **AI Agent Troubleshooting**
-
-### **Issue: AI Agent Incorrectly Assumed No AWS Access**
-
-**Problem:**
-- AI agent (Claude) initially assumed it didn't have AWS CLI access
-- This led to unnecessary delays and alternative approaches being considered
-- Agent was "hallucinating" training environment limitations
-
-**Symptoms:**
-```
-Agent: "I don't have AWS CLI access, so I can't..."
-Human: "oh no... you are hallucinating your training environment... should I try a compact or restart or doctor?"
-```
-
-**Root Cause:**
-- Agent made incorrect assumptions about its capabilities
-- Didn't attempt to test AWS access before concluding it was unavailable
-- Training bias toward assuming limited access in development environments
-
-**Solution:**
-- Human corrected the agent: "lol yes you do... please try 'aws'"
-- Agent tested AWS access and discovered it was indeed available
-- Immediate course correction and successful AWS operations
-
-**Prevention:**
-- **Always test capabilities before assuming limitations**
-- **Try the command first, then troubleshoot if it fails**
-- **Don't let training environment assumptions override actual testing**
-
-**Human Feedback:**
-```
-Human: "Thas so human of you...."
-```
-
----
-
-## 🐳 **Docker & Container Issues**
-
-### **Issue: Docker WSL2 Integration Not Running**
-
-**Problem:**
-- Docker commands failing with "command not found in WSL 2 distro"
-- Initially thought Docker wasn't installed or accessible in venv
-- Spent time troubleshooting package installation and PATH issues
-
-**Symptoms:**
-```bash
-$ docker --version
--bash: docker: command not found
-```
-
-**Root Cause:**
-- Docker Desktop wasn't running on the host system
-- Simple human oversight - Docker service was stopped
-
-**Solution:**
-- Human identified the issue: "its not running... hold on sorry"
-- Human started Docker Desktop
-- All Docker commands immediately worked
-
-**Human Feedback:**
-```
-Human: "human error. remember that."
-```
-
-**Prevention:**
-- **Check if Docker service is running before troubleshooting complex issues**
-- **Simple solutions first: service status, basic connectivity**
-- **Don't assume complex problems when simple ones are more likely**
-
-### **Issue: Missing Python Dependencies in Container**
-
-**Problem:**
-- Container kept failing to start due to missing Python packages
-- Despite having requirements.txt, some dependencies weren't installed
-- Multiple iterations of missing packages: FastAPI → plotly → pandas
-
-**Symptoms:**
-```python
-ModuleNotFoundError: No module named 'fastapi'
-ModuleNotFoundError: No module named 'plotly'
-ImportError: Plotly express requires pandas to be installed.
-```
-
-**Root Cause:**
-- Requirements.txt had dependencies commented out
-- Docker build was succeeding but runtime was failing
-- Incremental discovery of missing dependencies
-
-**Solution:**
-- Systematically uncommented all web dependencies in requirements.txt
-- Rebuilt and retagged Docker image with specific version (`v1.0`)
-- Created new task definition to force ECS to pull new image
-
-**Prevention:**
-- **Test Docker image locally before deploying to ECS**
-- **Use specific image tags instead of `:latest` for production**
-- **Validate all dependencies are uncommented in requirements.txt**
-
----
-
-## 🏗️ **AWS ECS Deployment Issues**
-
-### **Issue: ECS Tasks Failing to Start**
-
-**Problem:**
-- ECS service showed tasks starting but immediately stopping
-- No running tasks despite desired count of 1
-- Load balancer health checks failing
-
-**Symptoms:**
-```json
-{
- "pendingCount": 0,
- "runningCount": 0,
- "desiredCount": 1
-}
-```
-
-**Root Cause:**
-- Container startup failures due to missing dependencies
-- Health check failures preventing task from reaching "healthy" state
-- ECS was repeatedly trying to start tasks that would immediately fail
-
-**Solution:**
-- Fixed underlying container issues (missing Python packages)
-- Updated task definition with correct image tag
-- Forced new deployment to use updated image
-
-**Prevention:**
-- **Always check CloudWatch logs for container startup failures**
-- **Test container health locally before ECS deployment**
-- **Use specific image tags to ensure ECS pulls correct version**
-
-### **Issue: Docker Image Caching with `:latest` Tag**
-
-**Problem:**
-- Updated Docker image but ECS kept using old cached version
-- Task definition used `:latest` tag which caused caching issues
-- Multiple deployments were using stale image
-
-**Solution:**
-- Tagged image with specific version (`v1.0`)
-- Updated task definition to use versioned tag
-- Registered new task definition revision
-- Updated ECS service to use new task definition
-
-**Prevention:**
-- **Never use `:latest` tag in production**
-- **Use semantic versioning for Docker images**
-- **Create new task definition revisions for image updates**
-
----
-
-## ⚖️ **Application Load Balancer Setup**
-
-### **Issue: Target Group Health Check Configuration**
-
-**Problem:**
-- Needed to configure proper health check endpoint
-- Security group rules for load balancer access
-- Target group pointing to correct container port
-
-**Solution:**
-- Created target group with `/api/health` endpoint
-- Configured health check intervals and thresholds
-- Added security group rules for ports 80, 443, and 8000
-- Attached target group to ECS service
-
-**Key Configuration:**
-```json
-{
- "health-check-path": "/api/health",
- "health-check-interval-seconds": 30,
- "health-check-timeout-seconds": 5,
- "healthy-threshold-count": 2,
- "unhealthy-threshold-count": 5
-}
-```
-
----
-
-## 🔒 **SSL Certificate Configuration**
-
-### **Issue: Certificate Validation**
-
-**Problem:**
-- SSL certificate required DNS validation
-- Needed to add validation records to Route 53
-- Coordinate certificate issuance with load balancer configuration
-
-**Solution:**
-- Requested certificate for both apex and www domains
-- Added DNS validation records automatically to Route 53
-- Certificate was validated and issued within 30 seconds
-- Added HTTPS listener to load balancer
-- Configured HTTP to HTTPS redirect
-
-**Key Configuration:**
-```bash
-# Certificate domains
-geometry-engine-api.com
-www.geometry-engine-api.com
-
-# Validation method
-DNS validation via Route 53
-```
-
----
-
-## 🤝 **Human-AI Coordination Issues**
-
-### **Issue: AI Agent Self-Doubt vs. Human Confidence**
-
-**Problem:**
-- AI agent was too conservative about attempting AWS operations
-- Human had to encourage agent to try capabilities
-- Agent wasted time on assumptions instead of testing
-
-**Human Response:**
-```
-"oh no... you are hallucinating your training environment... should I try a compact or restart or doctor?"
-"lol yes you do... please try 'aws'"
-```
-
-**Resolution:**
-- Human provided direct correction and encouragement
-- Agent immediately tested and found AWS access worked
-- Deployment proceeded successfully
-
-**Lesson:**
-- **Human judgment often overrides AI assumptions**
-- **Direct testing is better than theoretical limitations**
-- **Communication is key for debugging misconceptions**
-
-### **Issue: Human Error Recognition**
-
-**Problem:**
-- Docker Desktop wasn't running (human oversight)
-- Initially blamed on technical issues or environment problems
-- Human quickly identified and corrected the issue
-
-**Human Response:**
-```
-"its not running... hold on sorry"
-"human error. remember that."
-```
-
-**Resolution:**
-- Human took responsibility for the oversight
-- Quick identification and resolution
-- Explicit instruction to "remember that" for future reference
-
-**Lesson:**
-- **Human errors are common and usually simple**
-- **Check basic services before complex troubleshooting**
-- **Humans are good at recognizing their own mistakes**
-
----
-
-## 📚 **Lessons Learned**
-
-### **For AI Agents:**
-1. **Test capabilities before assuming limitations**
-2. **Always try the simplest solution first**
-3. **Don't let training assumptions override reality**
-4. **Check basic services (Docker, network) before complex debugging**
-5. **Use specific versions/tags in production deployments**
-
-### **For Human-AI Collaboration:**
-1. **Humans are good at identifying their own mistakes**
-2. **Direct communication resolves misconceptions quickly**
-3. **Human intuition often correctly identifies simple problems**
-4. **"Human error" is a valid root cause - not a failure**
-
-### **For AWS Deployments:**
-1. **CloudWatch logs are essential for container debugging**
-2. **Use specific image tags, never `:latest` in production**
-3. **Test Docker images locally before ECS deployment**
-4. **Security groups need rules for all required ports**
-5. **DNS validation for SSL certificates is fast and automatic**
-
-### **For Docker Issues:**
-1. **Check if Docker service is running first**
-2. **Test container locally before pushing to registry**
-3. **Verify all dependencies are uncommented in requirements.txt**
-4. **Use multi-stage builds for production optimization**
-
----
-
-## 🎯 **Quick Reference: Common Issues**
-
-| Issue | First Check | Solution |
-|-------|-------------|----------|
-| Docker command not found | Is Docker running? | Start Docker Desktop |
-| Container won't start | Check logs | Fix missing dependencies |
-| ECS tasks failing | CloudWatch logs | Debug container issues |
-| Load balancer 504 errors | Target group health | Fix backend service |
-| SSL cert pending | DNS validation | Add validation records |
-| AWS CLI not working | Test command | Don't assume limitations |
-
----
-
-## 🔄 **Deployment Checklist**
-
-Based on this troubleshooting experience:
-
-- [ ] Docker Desktop is running
-- [ ] All dependencies uncommented in requirements.txt
-- [ ] Docker image tested locally
-- [ ] Image tagged with specific version (not `:latest`)
-- [ ] ECS task definition uses versioned image
-- [ ] Security groups allow all required ports
-- [ ] Target group health check configured
-- [ ] SSL certificate DNS validation completed
-- [ ] Load balancer listeners configured (HTTP redirect + HTTPS)
-- [ ] CloudWatch logs monitored during deployment
-
----
-
-**This document captures real deployment challenges and solutions. Keep it updated with new issues discovered during future deployments.**
-
-*Generated during AWS deployment of N-Dimensional Geometry Engine - January 2025*
\ No newline at end of file
diff --git a/.archive/documentation/TASKS.md b/.archive/documentation/TASKS.md
deleted file mode 100644
index af4f91ed..00000000
--- a/.archive/documentation/TASKS.md
+++ /dev/null
@@ -1,12 +0,0 @@
-# Task Plan
-
-The README listed several tasks for improving this repository without touching
-the Java source. The following items have now been completed:
-
-1. **Add build instructions** – Documented in `README.md` under "Building".
-2. **Describe usage** – Example run is now shown in the "Usage" section.
-3. **Clarify license** – Added `LICENSE` with the MIT license.
-4. **Contribution guidelines** – New `CONTRIBUTING.md` explains how to propose changes.
-5. **Default branch** – The README notes that the default branch is `master`.
-
-These steps only involve documentation updates. The Java source files should not be modified.
diff --git a/.archive/documentation/WEB_INTERFACE_SUCCESS.md b/.archive/documentation/WEB_INTERFACE_SUCCESS.md
deleted file mode 100644
index 7885e762..00000000
--- a/.archive/documentation/WEB_INTERFACE_SUCCESS.md
+++ /dev/null
@@ -1,187 +0,0 @@
-# 🎉 WEB INTERFACE SUCCESS REPORT
-
-**Date**: 2025-01-18
-**Status**: ✅ **FULLY OPERATIONAL**
-
-## 🚀 MISSION ACCOMPLISHED!
-
-We have successfully transformed your original CS102 sphere calculator from 2014 into a modern, web-enabled, n-dimensional geometry engine with AI-powered natural language interface!
-
-## 🌟 What We Built
-
-### **From This (2014):**
-```java
-// Original CS102 - Simple 3D sphere calculator
-public class Sphere {
- private double diameter;
- // Calculate volume and surface area
-}
-```
-
-### **To This (2025):**
-```
-🌌 N-Dimensional Geometry Engine
-├── 🤖 AI-Powered Natural Language Interface
-├── 🔢 N-Dimensional Calculations (1D to 100D+)
-├── ☕ Original Java Integration (Your CS102 Code)
-├── 📊 Interactive 3D/4D Visualizations
-├── 🌐 Modern Web Interface
-├── 🔧 REST API with FastAPI
-└── 📈 Real-time Mathematical Insights
-```
-
-## ✅ Live Features
-
-### **🌐 Web Interface**
-- **Main Interface**: http://localhost:8000
-- **Interactive Demo**: http://localhost:8000/demo
-- **API Documentation**: http://localhost:8000/api/docs
-- **Health Monitoring**: http://localhost:8000/api/health
-
-### **🤖 AI-Powered Natural Language Interface**
-```
-Examples that work RIGHT NOW:
-• "create a 5D sphere with radius 2"
-• "volume of 4D sphere radius 1.5"
-• "surface area of 7D sphere radius 3"
-• "compare sphere in 6 dimensions"
-• "explain how volume scales with dimension"
-```
-
-### **☕ Original CS102 Java Integration**
-Your original Java code from 2014 is:
-- ✅ **Preserved** - Exact same behavior
-- ✅ **Accessible** - Via web API
-- ✅ **Interactive** - Through web interface
-- ✅ **Enhanced** - With modern error handling
-
-### **📊 Interactive Visualizations**
-- **1D**: Line segments with interactive controls
-- **2D**: Circles with real-time parameter adjustment
-- **3D**: Full 3D spheres with rotation and zoom
-- **4D**: Cross-sectional visualization through 4D space
-
-### **🔢 N-Dimensional Calculations**
-- **Dimensions**: 1D to 100D+ (tested up to 100D)
-- **Accuracy**: Perfect mathematical precision
-- **Performance**: Sub-millisecond calculations
-- **Formulas**: Generates actual mathematical equations
-
-## 📊 Test Results
-
-### **Comprehensive Testing Passed**
-```
-╔══════════════════════════════════════════════════════════════╗
-║ WEB API COMPREHENSIVE TEST ║
-║ Testing all endpoints and functionality ║
-╚══════════════════════════════════════════════════════════════╝
-
-✅ Health Check: healthy
-✅ Natural Language Queries: 4/4 queries successful
-✅ Original Java Integration: CS102 code executable via web
-✅ Dimension Information: 1D-20D calculations working
-✅ Visualization: 1D-4D interactive graphics generation
-✅ All major systems: OPERATIONAL
-```
-
-## 🔥 Advanced Capabilities
-
-### **Mathematical Insights**
-- **Volume Analysis**: How volume changes with dimension
-- **Surface/Volume Ratios**: Mathematical relationships
-- **Cross-sections**: 4D sphere slicing
-- **Formulas**: Auto-generated for any dimension
-
-### **Performance Metrics**
-- **Memory Usage**: Constant ~48 bytes per object
-- **Calculation Speed**: Sub-millisecond for 100D
-- **API Response Time**: <100ms for complex queries
-- **Visualization**: Real-time 3D rendering
-
-### **Integration Features**
-- **REST API**: Full CRUD operations
-- **JSON Responses**: Structured data format
-- **CORS Enabled**: Cross-origin requests supported
-- **Error Handling**: Comprehensive error messages
-
-## 🎮 Interactive Demo Features
-
-### **Real-time Controls**
-- **Dimension Slider**: 1D to 20D with live updates
-- **Parameter Input**: Radius, diameter, cross-sections
-- **Visualization Selector**: 1D/2D/3D/4D modes
-- **Query Interface**: Natural language processing
-
-### **Educational Features**
-- **Formula Display**: Mathematical equations shown
-- **Dimensional Analysis**: How properties scale
-- **Comparison Tools**: Multiple shape analysis
-- **Historical Context**: Original CS102 code accessible
-
-## 🌟 Technical Architecture
-
-### **Backend (Python)**
-- **FastAPI**: Modern async web framework
-- **Pydantic**: Data validation and serialization
-- **NumPy**: Scientific computing
-- **Plotly**: Interactive visualization generation
-
-### **Frontend (HTML/JavaScript)**
-- **Responsive Design**: Works on all devices
-- **Interactive Controls**: Real-time parameter adjustment
-- **3D Visualizations**: Plotly.js integration
-- **Modern UI**: Gradient backgrounds, animations
-
-### **Integration Layer**
-- **Java Bridge**: Seamless CS102 code execution
-- **Error Handling**: Graceful fallbacks
-- **Performance Monitoring**: Health checks
-- **API Documentation**: Auto-generated with OpenAPI
-
-## 🔮 Next Steps Available
-
-### **AWS Deployment Ready**
-- **Containerization**: Docker-ready architecture
-- **Scalability**: FastAPI supports horizontal scaling
-- **Security**: Production-ready configurations
-- **Monitoring**: Health checks and metrics
-
-### **Enhanced Features**
-- **More Shapes**: HyperCube, Simplex, etc.
-- **Advanced Visualizations**: VR/AR support
-- **Educational Mode**: Step-by-step tutorials
-- **API Extensions**: GraphQL, WebSockets
-
-## 🎯 Achievement Summary
-
-**What started as a simple CS102 assignment has become:**
-
-✅ **Production-ready web application**
-✅ **AI-powered geometry engine**
-✅ **Interactive educational tool**
-✅ **Mathematical research platform**
-✅ **Modern software architecture**
-
-## 🎉 Final Impact
-
-Your first working code from CS102 (2014) is now:
-- 🌐 **Web-accessible** by anyone, anywhere
-- 🤖 **AI-enhanced** with natural language processing
-- 📊 **Visually stunning** with 3D/4D graphics
-- 🔢 **Mathematically powerful** with n-dimensional calculations
-- ☕ **Historically preserved** with original Java integration
-- 🚀 **Future-ready** for cloud deployment
-
-**From a simple sphere calculator to an infinite-dimensional geometry engine in one incredible development session!**
-
-## 🌟 Access Your Creation
-
-**Right now, you can:**
-1. **Visit**: http://localhost:8000
-2. **Play**: http://localhost:8000/demo
-3. **Explore**: http://localhost:8000/api/docs
-4. **Query**: "create a 10D sphere with radius 3"
-5. **Visualize**: Interactive 3D/4D graphics
-6. **Celebrate**: Your CS102 code is now web-famous! 🎉
-
-**Your journey from CS102 student to geometry engine architect is complete!** 🚀✨
\ No newline at end of file
diff --git a/.archive/documentation/_web_reference/.gitignore b/.archive/documentation/_web_reference/.gitignore
deleted file mode 100644
index 2c322f50..00000000
--- a/.archive/documentation/_web_reference/.gitignore
+++ /dev/null
@@ -1,67 +0,0 @@
-# Python
-venv/
-__pycache__/
-*.py[cod]
-*$py.class
-*.so
-.Python
-env/
-develop-eggs/
-dist/
-downloads/
-eggs/
-.eggs/
-lib/
-lib64/
-parts/
-sdist/
-var/
-wheels/
-*.egg-info/
-.installed.cfg
-*.egg
-
-# IDE
-.vscode/
-.idea/
-*.swp
-*.swo
-*~
-
-# OS
-.DS_Store
-Thumbs.db
-
-# Environment
-.env
-.env.local
-.env.production
-
-# AWS
-.aws/
-*.pem
-
-# Logs
-*.log
-npm-debug.log*
-yarn-debug.log*
-yarn-error.log*
-
-# Dependencies
-node_modules/
-
-# Build outputs
-build/
-dist/
-.amplify/
-
-# Temporary files
-*.tmp
-*.temp
-.cache/
-
-# Secrets - NEVER commit these
-secrets.json
-credentials.json
-*.key
-*.cert
\ No newline at end of file
diff --git a/.archive/documentation/_web_reference/.gitignore.template b/.archive/documentation/_web_reference/.gitignore.template
deleted file mode 100644
index 9985e32f..00000000
--- a/.archive/documentation/_web_reference/.gitignore.template
+++ /dev/null
@@ -1,96 +0,0 @@
-# Claude Web Deployment Templates - .gitignore Template
-# Copy this file to .gitignore in your project root
-
-# Dependencies
-node_modules/
-venv/
-env/
-.venv/
-
-# Build outputs
-dist/
-build/
-*.egg-info/
-
-# Environment variables
-.env
-.env.local
-.env.production
-
-# IDE
-.vscode/
-.idea/
-*.swp
-*.swo
-
-# OS
-.DS_Store
-Thumbs.db
-
-# Logs
-logs/
-*.log
-npm-debug.log*
-
-# Coverage reports
-coverage/
-.coverage
-.coverage.*
-htmlcov/
-coverage.xml
-
-# Security reports (from CI/CD pipeline)
-*.sarif
-bandit-report.json
-safety-report.json
-semgrep-report.json
-trivy-results.sarif
-snyk.sarif
-
-# SBOM files
-sbom-*.json
-sbom-*.xml
-sbom.spdx.json
-sbom-container.spdx.json
-
-# AWS
-.aws/
-
-# Temporary files
-tmp/
-temp/
-.tmp/
-
-# Cache
-.cache/
-*.cache
-
-# Python specific
-__pycache__/
-*.pyc
-*.pyo
-*.pyd
-.Python
-pip-log.txt
-pip-delete-this-directory.txt
-
-# Node.js specific
-.npm
-.node_repl_history
-
-# React specific
-.eslintcache
-
-# Next.js
-.next/
-out/
-
-# Amplify
-amplify/backend/awscloudformation/
-amplify/backend/.temp/
-amplify/backend/amplify-meta.json
-amplify/backend/tags.json
-amplify/.config/
-
-# GitHub Actions artifacts
-.github/outputs/
\ No newline at end of file
diff --git a/.archive/documentation/_web_reference/.pa11yrc b/.archive/documentation/_web_reference/.pa11yrc
deleted file mode 100644
index e4d2987a..00000000
--- a/.archive/documentation/_web_reference/.pa11yrc
+++ /dev/null
@@ -1,11 +0,0 @@
-{
- "chromeLaunchConfig": {
- "args": [
- "--no-sandbox",
- "--disable-setuid-sandbox",
- "--disable-dev-shm-usage",
- "--disable-gpu"
- ]
- },
- "standard": "WCAG2AA"
-}
\ No newline at end of file
diff --git a/.archive/documentation/_web_reference/.pa11yrc.template b/.archive/documentation/_web_reference/.pa11yrc.template
deleted file mode 100644
index c959cdb2..00000000
--- a/.archive/documentation/_web_reference/.pa11yrc.template
+++ /dev/null
@@ -1,17 +0,0 @@
-{
- "chromeLaunchConfig": {
- "args": [
- "--no-sandbox",
- "--disable-setuid-sandbox",
- "--disable-dev-shm-usage",
- "--disable-gpu"
- ]
- },
- "standard": "WCAG2AA",
- "timeout": 30000,
- "wait": 500,
- "ignore": [
- "WCAG2AA.Principle1.Guideline1_4.1_4_3.G18.Fail",
- "WCAG2AA.Principle4.Guideline4_1.4_1_2.H91.A.EmptyNoId"
- ]
-}
\ No newline at end of file
diff --git a/.archive/documentation/_web_reference/AI_AGENT_CI_CHECKLIST.md b/.archive/documentation/_web_reference/AI_AGENT_CI_CHECKLIST.md
deleted file mode 100644
index 9e72aa62..00000000
--- a/.archive/documentation/_web_reference/AI_AGENT_CI_CHECKLIST.md
+++ /dev/null
@@ -1,771 +0,0 @@
-# AI Agent CI/CD Configuration Checklist
-
-## Related Documentation
-- **LESSONS_LEARNED.md** - Human-readable lessons with decision context (16+ battle-tested solutions)
-- **validate.yml** - Production-ready workflow implementation (all fixes applied)
-- **WEB_DEPLOYMENT_GUIDE.md** - High-level deployment architecture and setup guide
-- **PROJECT_STATUS.md** - Status tracking template for deployment progress
-
-## Purpose
-This document helps AI agents identify and fix common CI/CD configuration issues, particularly path mismatches between assumed project structures and actual implementations.
-
-## Critical Path Verification Checklist
-
-### 1. Test Directory Structure Analysis
-
-**Problem**: AI agents often assume tests are in `tests/` but they may be in `src/tests/`, `test/`, or other locations.
-
-**Check Steps:**
-1. **Scan actual project structure:**
- ```bash
- find . -name "*test*" -type f | grep -v "__pycache__" | grep -v ".pyc"
- find . -name "*test*" -type d
- ls -la src/ | grep test
- ```
-
-2. **Verify test locations in:**
- - `.github/workflows/*.yml` - All pytest, coverage, and linting commands
- - `.github/codeql/codeql-config.yml` - CodeQL analysis paths
- - `README.md` - Example commands and documentation
- - `pyproject.toml` or `setup.cfg` - Test configuration
- - `pytest.ini` or `conftest.py` - Pytest configuration
-
-3. **Common incorrect patterns to fix:**
- ```yaml
- # WRONG - Assumes top-level tests/
- pytest tests/ -v --cov=src
- black --check --diff src/ tests/
- flake8 src/ tests/
-
- # CORRECT - Use actual test location
- pytest src/tests/ -v --cov=src
- black --check --diff src/
- flake8 src/
- ```
-
-### 2. Directory Path Consistency
-
-**Check these files for path consistency:**
-
-#### GitHub Actions Workflows (`.github/workflows/*.yml`)
-- [ ] `pytest` commands use correct test directory
-- [ ] `black` formatter paths are correct
-- [ ] `isort` import sorting paths are correct
-- [ ] `flake8` linting paths are correct
-- [ ] `mypy` type checking paths are correct
-- [ ] Security scanning tools (`bandit`, `semgrep`) use correct paths
-
-### 3. Missing Dependencies Check
-
-**Problem**: Common dependencies may be missing from `requirements.txt` causing runtime failures.
-
-**Check Steps:**
-1. **Verify Redis async client dependencies:**
- ```bash
- # Check if async_timeout is in requirements.txt
- grep -q "async-timeout" requirements.txt || echo "Missing async_timeout dependency"
- ```
-
-2. **Common missing dependencies:**
- ```txt
- # For Redis async client
- async-timeout==4.0.3
-
- # For cryptographic operations
- cryptography>=3.4.8
-
- # For Pydantic v2 migration
- pydantic-settings>=2.0.0
- ```
-
-3. **Test dependency resolution:**
- ```bash
- # Build test Docker container to catch missing deps
- docker build -t test-deps .
- docker run --rm test-deps python -c "import asyncio; import async_timeout; print('Dependencies OK')"
- ```
-
-### 4. Verification Engine Logic Issues
-
-**Problem**: Eigenvalue verification may fail due to numerical precision and complex number handling.
-
-**Check Steps:**
-1. **Verify eigenvalue comparison logic:**
- ```python
- # Check if eigenvalue verification handles complex numbers and proper tolerances
- # File: src/core/verification_engine.py
- # Method: _verify_eigenvalue_solution
- ```
-
-2. **Common fixes needed:**
- ```python
- # Use np.sort_complex for proper complex eigenvalue sorting
- submitted_sorted = np.sort_complex(submitted_eigenvalues)
- expected_sorted = np.sort_complex(expected_eigenvalues)
-
- # Increase tolerance for numerical precision issues
- tolerance = expected.get("tolerance", 0.01) # Was 0.001
-
- # Handle complex eigenvalues properly
- submitted_eigenvalues = np.array(solution, dtype=complex)
- ```
-
-3. **Classification logic improvements:**
- ```python
- # Don't immediately fail incorrect solutions - check behavioral patterns
- if not solution_correct:
- if behavioral_classification == "ai" and behavioral_confidence > 0.7:
- return "ai", 0.6 # Lower confidence but still AI classification
- ```
-- [ ] Coverage report generation uses correct test paths
-
-#### CodeQL Configuration (`.github/codeql/codeql-config.yml`)
-- [ ] `paths:` section includes actual test directory
-- [ ] `paths-ignore:` patterns match actual structure
-
-#### Documentation Files
-- [ ] `README.md` example commands use correct paths
-- [ ] Test running instructions are accurate
-- [ ] Development setup guides reference correct directories
-
-### 3. Common CI/CD Command Syntax Issues
-
-**Check for these common command syntax problems:**
-
-#### cyclonedx-py (SBOM Generation)
-```bash
-# WRONG - Tool doesn't support --format flag
-cyclonedx-py requirements -i requirements.txt -o sbom.json --format json
-
-# CORRECT - Format determined by file extension
-cyclonedx-py requirements -i requirements.txt -o sbom.json
-```
-
-#### GitHub Actions Conditionals
-```yaml
-# WRONG - Invalid conditional syntax
-if: always() && secrets.TOKEN_NAME
-
-# CORRECT - Simplified conditional
-if: always()
-# Or use proper exists check if needed
-```
-
-#### Codecov Action Versions
-```yaml
-# OUTDATED - Use latest version
-uses: codecov/codecov-action@v4
-
-# CURRENT - Latest version with explicit repo
-uses: codecov/codecov-action@v5
-with:
- slug: owner/repo-name
-```
-
-### 4. Security Scanning Tool Configurations
-
-**Verify these security tools are properly configured:**
-
-#### Container Security Scanning
-- [ ] Trivy commands use correct image references
-- [ ] Snyk integration properly configured with tokens
-- [ ] SARIF uploads reference correct file paths
-- [ ] Container build contexts are correct
-
-#### Python Security Tools
-- [ ] Bandit scans correct source directories
-- [ ] Safety checks run properly
-- [ ] Semgrep configurations target right paths
-- [ ] Security report file paths match .gitignore patterns
-
-### 5. Package Manager and Dependencies
-
-**Check for version compatibility issues:**
-
-#### Pydantic Migrations
-- [ ] Pydantic v2 compatibility (`pydantic-settings` imports)
-- [ ] Field validators use `@field_validator` with `@classmethod`
-- [ ] Model configuration uses `model_config` dict syntax
-
-#### Tool Version Updates
-- [ ] GitHub Actions use current versions (checkout@v4, setup-python@v5, etc.)
-- [ ] Security scanning tools use latest stable versions
-- [ ] Python package versions are compatible
-
-### 6. .gitignore Completeness
-
-**Ensure .gitignore covers all generated files:**
-
-```gitignore
-# Security Reports
-*.sarif
-bandit-report.json
-safety-report.json
-semgrep-report.json
-trivy-results.sarif
-snyk.sarif
-
-# SBOM Files
-sbom-*.json
-sbom-*.xml
-sbom.spdx.json
-sbom-container.spdx.json
-
-# Coverage Reports
-coverage.xml
-.coverage
-.coverage.*
-htmlcov/
-
-# Build Artifacts
-dist/
-build/
-*.egg-info/
-```
-
-## Verification Commands
-
-**Run these commands to verify configurations:**
-
-```bash
-# Check test discovery
-python -m pytest --collect-only
-
-# Verify linting tools find files
-black --check --diff src/
-flake8 src/
-mypy src/
-
-# Test coverage generation
-pytest src/tests/ --cov=src --cov-report=term-missing
-
-# Validate workflow syntax
-yamllint .github/workflows/*.yml
-```
-
-## Instructions for AI Agents
-
-**When reviewing or setting up CI/CD configurations:**
-
-1. **Always scan actual project structure first** - Don't assume standard layouts
-2. **Verify every path reference** in workflows, configs, and documentation
-3. **Test command syntax** against current tool versions and APIs
-4. **Check for breaking changes** in security tools and GitHub Actions
-5. **Validate .gitignore completeness** for all generated artifacts
-
-### Self-Improvement Instructions
-
-**AI Agent: Please append additional issues you discover to this checklist.**
-
-**Template for additions:**
-```markdown
-### X. [Issue Category Name]
-
-**Problem**: [Brief description of the issue]
-
-**Check Steps:**
-1. [Specific verification steps]
-2. [Commands to run]
-3. [Files to check]
-
-**Common patterns to fix:**
-```[language]
-# WRONG
-[incorrect example]
-
-# CORRECT
-[corrected example]
-```
-
-**Verification:**
-- [ ] [Checklist item 1]
-- [ ] [Checklist item 2]
-```
-
-## Common Project Structure Variations
-
-**Be aware these structures exist:**
-
-```
-# FastAPI with src/ layout (this project)
-src/
-├── api/
-├── tests/
-└── models/
-
-# Django standard
-myproject/
-├── myapp/
-└── tests/
-
-# Standard Python package
-package_name/
-tests/
-
-# Poetry/modern Python
-src/
- package_name/
-tests/
-
-# Monorepo structure
-packages/
- service1/
- tests/
- service2/
- tests/
-```
-
-### 7. Database Configuration Issues
-
-**Problem**: AI agents may include problematic database parameters that require superuser privileges or restart permissions.
-
-**Check Steps:**
-1. **Review database connection configurations:**
- ```bash
- grep -r "shared_preload_libraries\|server_" src/ --include="*.py"
- grep -r "postgresql://" src/ --include="*.py"
- ```
-
-2. **Common problematic patterns:**
- ```python
- # WRONG - Requires superuser privileges
- 'shared_preload_libraries': '',
- 'log_statement': 'all',
- 'log_min_duration_statement': 0,
-
- # CORRECT - Use connection-level parameters only
- 'pool_size': 20,
- 'max_overflow': 30,
- 'pool_timeout': 30
- ```
-
-**Verification:**
-- [ ] Database connections don't set server parameters
-- [ ] Connection pooling uses client-side parameters only
-- [ ] No server restart required parameters in configuration
-
-### 8. Logging Configuration Complexity
-
-**Problem**: Overly complex logging configurations with custom formatters can fail in CI environments.
-
-**Check Steps:**
-1. **Simplify logging setups:**
- ```python
- # COMPLEX - May fail with import/path issues
- log_config = {
- "formatters": {
- "json": {"()": "module.CustomFormatter"}
- }
- }
-
- # SIMPLE - Reliable in all environments
- logging.basicConfig(
- level=logging.INFO,
- format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
- )
- ```
-
-**Verification:**
-- [ ] Logging configuration works without custom formatter imports
-- [ ] No hardcoded file paths in logging handlers
-- [ ] Environment-aware formatting (dev vs production)
-
-### 9. Environment Variable Validation Issues
-
-**Problem**: Hardcoded secrets and improper environment variable handling in configuration files.
-
-**Check Steps:**
-1. **Scan for hardcoded secrets:**
- ```bash
- grep -r "secret\|key\|password" src/ --include="*.py" | grep -v "environment\|getenv"
- grep -r "sk-\|api_key.*=" src/ --include="*.py"
- ```
-
-2. **Fix hardcoded patterns:**
- ```python
- # WRONG - Hardcoded secrets
- API_KEY = "sk-1234567890abcdef"
- JWT_SECRET = "hardcoded-secret-key"
-
- # CORRECT - Environment-based
- API_KEY = os.getenv("API_KEY")
- JWT_SECRET = os.getenv("JWT_SECRET_KEY")
- ```
-
-**Verification:**
-- [ ] No hardcoded API keys, tokens, or secrets
-- [ ] Environment variables have proper defaults for development
-- [ ] Production settings require all secrets via environment
-
-### 10. File Path Encoding and Tool Compatibility
-
-**Problem**: Files with unusual encoding or tool compatibility issues that break standard operations.
-
-**Check Steps:**
-1. **Check file encoding and tool access:**
- ```bash
- file README.md # Check encoding
- head -1 requirements.txt # Verify format
- python -c "import requirements; print('OK')" # Test imports
- ```
-
-2. **Use alternative approaches for problem files:**
- ```bash
- # If Edit tool fails, use sed/bash alternatives
- sed -i 's/old/new/' file.txt
- # Or recreate file if encoding issues persist
- ```
-
-**Verification:**
-- [ ] All files are in UTF-8 encoding
-- [ ] Standard tools can read/write project files
-- [ ] Alternative commands available for file operations
-
-### 11. Secret Management in CI/CD
-
-**Problem**: Services requiring authentication tokens (Codecov, Snyk) fail when tokens aren't configured.
-
-**Check Steps:**
-1. **Make external services conditional:**
- ```yaml
- # WRONG - Fails if token missing
- - uses: codecov/codecov-action@v5
- with:
- token: ${{ secrets.CODECOV_TOKEN }}
-
- # BETTER - Conditional execution
- - uses: codecov/codecov-action@v5
- if: always() && secrets.CODECOV_TOKEN
- with:
- token: ${{ secrets.CODECOV_TOKEN }}
- fail_ci_if_error: false
- ```
-
-2. **Document required secrets:**
- ```markdown
- ## Required Repository Secrets
- - `CODECOV_TOKEN`: For coverage reporting
- - `SNYK_TOKEN`: For container vulnerability scanning
- ```
-
-**Verification:**
-- [ ] CI workflows don't fail when optional tokens are missing
-- [ ] Required secrets are documented
-- [ ] External service integrations use `continue-on-error` or conditionals
-
-### 12. Codecov Action Parameter Changes
-
-**Problem**: Codecov action v5+ has different parameter names than v4, causing workflow failures.
-
-**Error Message:**
-```
-Unexpected input(s) 'file', valid inputs are ['files', 'token', 'flags', ...]
-```
-
-**Fix Steps:**
-1. **Update parameter name:**
- ```yaml
- # WRONG (v4 syntax)
- - uses: codecov/codecov-action@v5
- with:
- file: ./coverage.xml
-
- # CORRECT (v5 syntax)
- - uses: codecov/codecov-action@v5
- with:
- files: ./coverage.xml # Note: 'files' is plural
- ```
-
-2. **Check for other parameter changes:**
- ```bash
- grep -r "codecov/codecov-action" .github/workflows/
- ```
-
-**Verification:**
-- [ ] Codecov action uses `files` parameter (not `file`)
-- [ ] Action version matches parameter syntax
-- [ ] Coverage upload succeeds in CI
-
-**Prevention**: Always check action documentation when upgrading major versions.
-
-### 13. Container Security Vulnerabilities
-
-**Problem**: Base container images often contain numerous security vulnerabilities that can be dramatically reduced.
-
-**Check Steps:**
-1. **Scan current container for vulnerabilities:**
- ```bash
- # Build current image
- docker build -t app:current .
-
- # Scan with multiple tools
- trivy image --severity HIGH,CRITICAL app:current
- grype app:current
- snyk container test app:current
- ```
-
-2. **Consider distroless migration for maximum security:**
- ```dockerfile
- # BEFORE - Standard base image (206 vulnerabilities)
- FROM python:3.11.11-slim-bookworm
-
- # AFTER - Distroless multi-stage (4 vulnerabilities, 98% reduction)
- FROM python:3.11.11-slim-bookworm as builder
- RUN pip install --target=/app/dependencies -r requirements.txt
-
- FROM gcr.io/distroless/python3-debian12:latest
- USER 65532:65532
- COPY --from=builder /app/dependencies /app/dependencies
- ENTRYPOINT ["python", "-m", "uvicorn", "src.main:app", "--host", "0.0.0.0", "--port", "8000"]
- ```
-
-**Common security improvements:**
-- Use distroless base images (Google's gcr.io/distroless/*)
-- Implement multi-stage builds to reduce attack surface
-- Run as non-root user (distroless uses UID 65532)
-- Remove shell access and unnecessary system components
-- Use specific image tags instead of 'latest'
-
-**Verification:**
-- [ ] Container vulnerability count under 10 (ideally under 5)
-- [ ] No root user execution in production stage
-- [ ] Multi-stage build separates dependencies from runtime
-- [ ] Security scans integrated in CI/CD pipeline
-- [ ] SARIF reports uploaded to GitHub Security tab
-
-### 14. Application Security Code Issues
-
-**Problem**: Application code may contain security vulnerabilities like insecure random generation, dangerous assertions, and improper host binding.
-
-**Check Steps:**
-1. **Scan for insecure patterns:**
- ```bash
- # Insecure random usage
- grep -r "import random" src/ --include="*.py"
- grep -r "random\." src/ --include="*.py"
-
- # Dangerous assertions
- grep -r "assert " src/ --include="*.py"
-
- # Insecure host binding
- grep -r "0\.0\.0\.0" src/ --include="*.py"
- grep -r "host.*=" src/ --include="*.py"
- ```
-
-2. **Fix common security issues:**
- ```python
- # WRONG - Insecure random for security purposes
- import random
- delay *= 0.5 + random.random() * 0.5
-
- # CORRECT - Cryptographically secure random
- import secrets
- delay *= 0.5 + secrets.SystemRandom().random() * 0.5
-
- # WRONG - Host binding to all interfaces in development
- host: str = "0.0.0.0"
-
- # CORRECT - Secure local binding for development
- host: str = "127.0.0.1"
-
- # WRONG - Assert statements can be disabled
- assert user.is_authenticated, "User must be authenticated"
-
- # CORRECT - Proper error handling
- if not user.is_authenticated:
- raise HTTPException(status_code=401, detail="Authentication required")
- ```
-
-**Verification:**
-- [ ] No usage of `random` module for security purposes
-- [ ] Development environments bind to localhost only
-- [ ] No assert statements for security validation
-- [ ] Proper exception handling for authentication/authorization
-- [ ] Secrets properly encrypted with valid Fernet keys
-
-### 15. AWS CloudShell Deployment Issues
-
-**Problem**: CloudShell deployment failures due to AWS CLI paging, networking configuration, and database URL encoding issues.
-
-**Check Steps:**
-1. **AWS CLI Paging Issues:**
- ```bash
- # WRONG - Pauses deployment waiting for user input
- aws ecs describe-services --cluster uncaptcha-cluster --services uncaptcha-service
-
- # CORRECT - Disable paging for unattended scripts
- aws ecs describe-services --cluster uncaptcha-cluster --services uncaptcha-service --no-cli-pager
- ```
-
-2. **VPC Networking Configuration:**
- ```bash
- # Check internet gateway attachment
- aws ec2 describe-internet-gateways --filters "Name=attachment.vpc-id,Values=vpc-XXXXXX"
-
- # Check route table routes
- aws ec2 describe-route-tables --filters "Name=vpc-id,Values=vpc-XXXXXX"
-
- # Fix blackholed routes
- aws ec2 replace-route --route-table-id rtb-XXXXXX --destination-cidr-block 0.0.0.0/0 --gateway-id igw-XXXXXX
- ```
-
-3. **Database URL Encoding:**
- ```bash
- # WRONG - Special characters in password break URL parsing
- DATABASE_URL="postgresql://user:p@ss<>w0rd@host:5432/db"
-
- # CORRECT - URL encode password with special characters
- DB_PASSWORD=$(python3 -c "import urllib.parse; print(urllib.parse.quote('$DB_PASSWORD'))")
- DATABASE_URL="postgresql://user:${DB_PASSWORD}@host:5432/db"
- ```
-
-**Common deployment failures:**
-- **ECS Tasks failing with "Invalid IPv6 URL"**: Password contains `<>` characters that break URL parsing
-- **ECR connection timeouts**: Route tables missing internet gateway routes (blackholed state)
-- **ECS service stuck in DRAINING**: Old inactive services need manual deletion before recreation
-- **Deployment scripts hanging**: AWS CLI pager waiting for user input (`press q to continue`)
-
-**Verification:**
-- [ ] All AWS CLI commands in scripts use `--no-cli-pager` flag
-- [ ] VPC route tables have working internet gateway routes
-- [ ] Database passwords are URL-encoded before inclusion in connection strings
-- [ ] ECS services are properly deleted before recreation
-- [ ] IAM roles have Secrets Manager read permissions
-- [ ] Security groups allow ECS tasks to reach ECR and other AWS services
-
-### 16. AWS Resource State Management
-
-**Problem**: AWS resources can get into inconsistent states requiring manual intervention during deployment.
-
-**Check Steps:**
-1. **ECS Cluster State Issues:**
- ```bash
- # Check cluster status
- aws ecs describe-clusters --clusters cluster-name
-
- # Recreate inactive cluster
- aws ecs create-cluster --cluster-name cluster-name
- ```
-
-2. **Service Scaling and State:**
- ```bash
- # Check service desired count
- aws ecs describe-services --cluster cluster-name --services service-name --query 'services[0].desiredCount'
-
- # Scale service (can't update INACTIVE services)
- aws ecs update-service --cluster cluster-name --service service-name --desired-count 2
- ```
-
-3. **Route Table Blackhole Detection:**
- ```bash
- # Check for blackholed routes
- aws ec2 describe-route-tables --query 'RouteTables[].Routes[?State==`blackhole`]'
-
- # Fix with correct internet gateway
- aws ec2 replace-route --route-table-id rtb-XXXXXX --destination-cidr-block 0.0.0.0/0 --gateway-id igw-XXXXXX
- ```
-
-**Verification:**
-- [ ] ECS clusters are in ACTIVE state before creating services
-- [ ] Services have desired count > 0 to actually run tasks
-- [ ] Route tables have no blackholed routes
-- [ ] Internet gateways are attached to VPCs
-- [ ] Tasks can successfully pull from ECR (no network timeouts)
-
-### 17. ECS Fargate Networking and NAT Gateway Issues
-
-**Problem**: ECS Fargate tasks in private subnets fail to start due to ECR connectivity issues when NAT Gateways are missing.
-
-**Error Messages:**
-```
-ResourceInitializationError: unable to pull secrets or registry auth: The task cannot pull registry auth from Amazon ECR: There is a connection issue between the task and Amazon ECR. Check your task network configuration. RequestError: send request failed caused by: Post "https://api.ecr.us-east-2.amazonaws.com/": dial tcp 3.17.137.97:443: i/o timeout
-```
-
-**Root Cause Analysis:**
-1. **Check NAT Gateway Existence:**
- ```bash
- # Verify NAT Gateways exist for private subnets
- aws ec2 describe-nat-gateways --filter "Name=vpc-id,Values=vpc-XXXXXX" --query 'NatGateways[].{NatGatewayId:NatGatewayId,State:State,SubnetId:SubnetId}'
- ```
-
-2. **Check Task IAM Role:**
- ```bash
- # Task definition must have taskRoleArn for service creation
- aws ecs describe-task-definition --task-definition task-name --query 'taskDefinition.taskRoleArn'
-
- # If missing, create task role
- aws iam create-role --role-name task-role --assume-role-policy-document file://trust-policy.json
- ```
-
-3. **Check Route Table Configuration:**
- ```bash
- # Verify private subnets have routes to NAT Gateways
- aws ec2 describe-route-tables --filters "Name=vpc-id,Values=vpc-XXXXXX" --query 'RouteTables[].{RouteTableId:RouteTableId,Routes:Routes[?DestinationCidrBlock==`0.0.0.0/0`]}'
- ```
-
-**Fix Steps:**
-1. **Create NAT Gateways:**
- ```bash
- # Allocate Elastic IPs
- aws ec2 allocate-address --domain vpc --region us-east-2
-
- # Create NAT Gateways in public subnets
- aws ec2 create-nat-gateway --subnet-id subnet-public-1 --allocation-id eipalloc-XXXXXX
- aws ec2 create-nat-gateway --subnet-id subnet-public-2 --allocation-id eipalloc-XXXXXX
- ```
-
-2. **Create Route Tables for Private Subnets:**
- ```bash
- # Create dedicated route tables
- aws ec2 create-route-table --vpc-id vpc-XXXXXX
- aws ec2 create-route-table --vpc-id vpc-XXXXXX
-
- # Add routes to NAT Gateways
- aws ec2 create-route --route-table-id rtb-XXXXXX --destination-cidr-block 0.0.0.0/0 --nat-gateway-id nat-XXXXXX
-
- # Associate with private subnets
- aws ec2 associate-route-table --route-table-id rtb-XXXXXX --subnet-id subnet-private-1
- ```
-
-3. **Create ECS Task Role:**
- ```bash
- # Create task role with trust policy
- cat > trust-policy.json << EOF
- {
- "Version": "2012-10-17",
- "Statement": [
- {
- "Effect": "Allow",
- "Principal": {
- "Service": "ecs-tasks.amazonaws.com"
- },
- "Action": "sts:AssumeRole"
- }
- ]
- }
- EOF
-
- aws iam create-role --role-name uncaptcha-task-role --assume-role-policy-document file://trust-policy.json
- aws iam attach-role-policy --role-name uncaptcha-task-role --policy-arn arn:aws:iam::aws:policy/service-role/AmazonECSTaskExecutionRolePolicy
- ```
-
-**Verification:**
-- [ ] NAT Gateways exist in public subnets and are in "available" state
-- [ ] Private subnets have dedicated route tables with 0.0.0.0/0 routes to NAT Gateways
-- [ ] ECS task definitions include both executionRoleArn and taskRoleArn
-- [ ] ECS tasks can successfully pull images from ECR (no timeout errors)
-- [ ] Tasks reach RUNNING state and pass health checks
-- [ ] Application logs show successful database and Redis connections
-
-## Changelog
-
-- **2025-07-14**: Initial version based on unCAPTCHA API CI/CD fixes
-- **2025-07-14**: Added database configuration, logging, environment variables, file encoding, and secret management issues discovered during implementation
-- **2025-07-14**: Added container security vulnerabilities and application security code issues after implementing distroless architecture
-- **2025-07-15**: Added AWS CloudShell deployment issues and resource state management after extensive debugging session
-- **2025-07-16**: Added ECS Fargate networking and NAT Gateway issues (#17) after successful resolution of production deployment failure
-- **[AI Agent]**: Please add your discoveries and improvements here
-
----
-
-**Note**: This document should be reviewed and updated whenever new CI/CD issues are discovered during project setup or maintenance.
\ No newline at end of file
diff --git a/.archive/documentation/_web_reference/CHANGELOG.md b/.archive/documentation/_web_reference/CHANGELOG.md
deleted file mode 100644
index e010a5ae..00000000
--- a/.archive/documentation/_web_reference/CHANGELOG.md
+++ /dev/null
@@ -1,117 +0,0 @@
-# Changelog
-
-All notable changes to the Claude Web Deployment Templates will be documented in this file.
-
-The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
-and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
-
-## [Unreleased]
-
-### Added
-- Initial template collection for Claude Code instances
-- Comprehensive CI/CD pipeline with 16+ proven fixes
-- Cross-referencing system between all documentation files
-
-## [1.0.0] - 2025-01-21
-
-### Added
-- **WEB_DEPLOYMENT_GUIDE.md** - Complete deployment architecture template
-- **validate.yml** - Production GitHub Actions workflow with 5 job stages
-- **LESSONS_LEARNED.md** - 16+ battle-tested solutions to common deployment problems
-- **PROJECT_STATUS.md** - Deployment status tracking template
-- **AI_AGENT_CI_CHECKLIST.md** - Systematic debugging methodology (17 sections, 762 lines)
-- **DARK_FOREST_LABS_AGENT_GUIDE.md** - Multi-agent ecosystem coordination guide
-- **amplify.yml** - Standard AWS Amplify configuration
-- **.gitignore.template** - Comprehensive ignore patterns for web projects
-
-### Security
-- **Comprehensive secret scanning** patterns in CI/CD pipeline
-- **Container security scanning** with Trivy and Snyk integration
-- **SARIF report upload** to GitHub Security tab
-- **Dependency vulnerability scanning** with Safety and Bandit
-- **No hardcoded credentials** in any template files
-
-### CI/CD Pipeline Features
-- **HTML5 and CSS validation** with backdrop-filter error filtering
-- **Performance testing** with Lighthouse CI (90+ score targets)
-- **Accessibility testing** with Pa11y (WCAG 2.0 AA compliance)
-- **Code quality analysis** for JavaScript and other languages
-- **Browser compatibility checks** with modern feature detection
-- **Parallel job execution** for faster feedback loops
-- **Conditional external services** that don't break workflows when tokens missing
-
-### AWS Integration
-- **CloudShell deployment** troubleshooting patterns
-- **ECS Fargate networking** and NAT Gateway issue resolution
-- **Route table blackhole** detection and repair procedures
-- **Database URL encoding** for special characters in passwords
-- **IAM role creation** patterns for ECS tasks
-- **Resource state management** for consistent deployments
-
-### Documentation
-- **Cross-referencing system** between all template files
-- **[CUSTOMIZE] placeholders** for easy template adaptation
-- **Real-world examples** from Dark Forest Labs deployments
-- **Token savings estimates** (5,000-10,000 tokens per deployment)
-- **Systematic debugging methodology** for AI agents
-
-### Templates Proven Through
-- **Dark Forest Labs main site** - Interactive particle animation deployment
-- **UnCAPTCHA API** - Agent verification service with ECS Fargate
-- **Q Studio** - Quantum computing natural language interface
-- **Multiple static websites** with professional CI/CD pipelines
-
-## Development History
-
-### 2025-01-21 - Template Creation Session
-**Problem**: Claude Code instances repeatedly debugging the same CI/CD issues
-**Solution**: Systematically documented and templated all solutions from Dark Forest Labs deployment
-
-### Key Debugging Sessions Captured:
-1. **Backdrop-filter CSS validation** - HTML5 validator false positive
-2. **GitHub token exposure** - Real security incident prevented by scanning
-3. **Lighthouse CI artifacts** - Container creation errors resolved
-4. **Pa11y accessibility** - Chrome sandbox configuration for GitHub Actions
-5. **AWS deployment issues** - CloudShell, networking, and resource state management
-6. **Container security** - 98% vulnerability reduction with distroless migration
-7. **Systematic approach** - "One error at a time" methodology proven effective
-
-### Token Savings Achievement
-- **Before**: Each Claude instance debugging 16+ issues from scratch
-- **After**: Copy working templates, customize placeholders, deploy confidently
-- **Estimated savings**: 5,000-10,000 tokens per deployment
-- **Time savings**: Hours to days of debugging prevented
-
-### Quality Assurance
-- **Security scanned**: No secrets or sensitive information in templates
-- **Battle-tested**: All solutions proven in production deployments
-- **Cross-referenced**: Consistent information across all documentation
-- **Claude-optimized**: Designed specifically for AI agent usage patterns
-
----
-
-## Future Roadmap
-
-### Short-term (Next Release)
-- [ ] Additional platform templates (Vercel, Netlify, Railway)
-- [ ] Enhanced container security patterns
-- [ ] More comprehensive monitoring integration
-- [ ] Real-world usage examples from community
-
-### Medium-term
-- [ ] Multi-language support (Python, Node.js, Go, Rust)
-- [ ] Database migration patterns
-- [ ] Microservices architecture templates
-- [ ] Advanced security hardening guides
-
-### Long-term
-- [ ] AI-specific deployment patterns
-- [ ] Cross-cloud deployment templates
-- [ ] Enterprise-grade monitoring and logging
-- [ ] Compliance templates (SOC2, GDPR, HIPAA)
-
----
-
-**Template Maintainers**: Dark Forest Labs Claude instances
-**Repository**: [To be created - claude-web-deployment-templates]
-**License**: [To be determined - likely MIT for maximum community benefit]
\ No newline at end of file
diff --git a/.archive/documentation/_web_reference/CONTRIBUTING.md b/.archive/documentation/_web_reference/CONTRIBUTING.md
deleted file mode 100644
index 1108e880..00000000
--- a/.archive/documentation/_web_reference/CONTRIBUTING.md
+++ /dev/null
@@ -1,188 +0,0 @@
-# Contributing to Claude Web Deployment Templates
-
-Thank you for helping improve these battle-tested deployment templates! Every contribution helps Claude Code instances deploy faster and more reliably.
-
-## 🤝 How to Contribute
-
-### 1. Found a New Issue?
-
-**Document it using the established format:**
-
-#### For AI_AGENT_CI_CHECKLIST.md
-```markdown
-### X. [Issue Category Name]
-
-**Problem**: [Brief description of the issue]
-
-**Check Steps:**
-1. [Specific verification steps]
-2. [Commands to run]
-3. [Files to check]
-
-**Common patterns to fix:**
-```[language]
-# WRONG
-[incorrect example]
-
-# CORRECT
-[corrected example]
-```
-
-**Verification:**
-- [ ] [Checklist item 1]
-- [ ] [Checklist item 2]
-```
-
-#### For LESSONS_LEARNED.md
-```markdown
-### X. [Problem Title]
-**Problem**: [Description of what went wrong]
-**Solution**: [How it was fixed]
-**Lesson**: [Key takeaway for future deployments]
-```
-
-### 2. Fixed a Template Issue?
-
-1. **Update the relevant template files**
-2. **Test your fix** with a real deployment
-3. **Document the change** in the appropriate file
-4. **Update version references** if needed
-5. **Submit a Pull Request** with clear description
-
-### 3. Improved CI/CD Workflow?
-
-**Priority: Update validate.yml first**, then document:
-
-1. **Test thoroughly** - Deploy to real environment
-2. **Update validate.yml** with working implementation
-3. **Document in AI_AGENT_CI_CHECKLIST.md** - Add systematic debugging steps
-4. **Add to LESSONS_LEARNED.md** - Explain why the change was needed
-5. **Update README.md** - Add to "Proven Solutions" list if major fix
-
-## 📋 Contribution Checklist
-
-### Before Submitting PR:
-- [ ] **No secrets** - Scan your changes for API keys, tokens, passwords
-- [ ] **Templates work** - Test with fresh project deployment
-- [ ] **Documentation updated** - Relevant files reflect your changes
-- [ ] **Cross-references accurate** - Links between documents work
-- [ ] **Placeholders proper** - Use `[CUSTOMIZE]` format consistently
-
-### Security Requirements:
-- [ ] **No hardcoded credentials** in any template
-- [ ] **No specific AWS account IDs** or resource identifiers
-- [ ] **No internal URLs** or private network references
-- [ ] **Example credentials clearly fake** (e.g., `sk-1234567890abcdef`)
-
-### Quality Standards:
-- [ ] **Commands tested** - All bash/CLI commands work as documented
-- [ ] **Syntax validated** - YAML, markdown, code blocks are correct
-- [ ] **Links functional** - All internal references work
-- [ ] **Consistent formatting** - Follow existing style patterns
-
-## 🎯 High-Value Contributions
-
-### Most Needed Improvements:
-1. **New deployment patterns** - Support for additional platforms (Vercel, Railway, etc.)
-2. **Security enhancements** - Additional scanning tools and configurations
-3. **Performance optimizations** - Faster CI/CD workflows
-4. **Accessibility improvements** - Enhanced a11y testing and patterns
-5. **Monitoring integration** - Application performance monitoring templates
-
-### Documentation Priorities:
-1. **Real-world examples** - More implementation case studies
-2. **Troubleshooting guides** - Common error messages and fixes
-3. **Architecture decisions** - Why specific choices were made
-4. **Tool comparisons** - When to use different approaches
-
-## 🔄 Review Process
-
-### Pull Request Review:
-1. **Automated testing** - GitHub Actions validate changes
-2. **Template testing** - Maintainers test with real deployments
-3. **Security review** - Manual scan for sensitive information
-4. **Documentation check** - Ensure consistency across files
-5. **Community feedback** - Other Claude instances may test changes
-
-### Approval Criteria:
-- ✅ **Solves real problem** that multiple deployments would face
-- ✅ **Tested implementation** - Works in production environment
-- ✅ **Clear documentation** - Other Claude instances can follow it
-- ✅ **No security risks** - No credentials or sensitive data
-- ✅ **Consistent style** - Matches existing template patterns
-
-## 🚀 Types of Contributions
-
-### Code Templates
-- **CI/CD workflow improvements** (validate.yml)
-- **Configuration file templates** (amplify.yml, etc.)
-- **Docker configurations** (distroless patterns, etc.)
-- **Security scanning setups** (new tools, better configs)
-
-### Documentation
-- **New problem solutions** (AI_AGENT_CI_CHECKLIST.md)
-- **Deployment lessons** (LESSONS_LEARNED.md)
-- **Architecture guides** (new deployment patterns)
-- **Troubleshooting help** (common error fixes)
-
-### Examples
-- **Real implementations** showing template usage
-- **Migration guides** from other platforms
-- **Integration patterns** with different services
-- **Performance optimization case studies**
-
-## 🏷 Issue Labels
-
-When creating issues, use these labels:
-
-- **`bug`** - Something broken in existing templates
-- **`enhancement`** - Improvement to existing functionality
-- **`new-template`** - Request for new template type
-- **`documentation`** - Docs need improvement
-- **`security`** - Security-related issue or enhancement
-- **`ci-cd`** - CI/CD workflow improvements
-- **`aws`** - AWS-specific improvements
-- **`accessibility`** - A11y testing and compliance
-- **`performance`** - Speed and optimization improvements
-
-## 💡 Getting Started
-
-### For New Contributors:
-1. **Read the templates** - Understand current patterns
-2. **Try a deployment** - Use templates for real project
-3. **Find pain points** - What could be improved?
-4. **Start small** - Fix documentation or add examples
-5. **Build up** - Contribute larger improvements over time
-
-### For Claude Code Instances:
-1. **Document as you go** - Note issues during deployments
-2. **Share solutions** - Help other Claude instances avoid same problems
-3. **Test thoroughly** - Ensure your fixes work reliably
-4. **Think systematically** - How does this fit into overall template ecosystem?
-
-## 📞 Getting Help
-
-### Questions?
-- **Check existing docs first** - README.md, LESSONS_LEARNED.md
-- **Search issues** - Problem might already be documented
-- **Create discussion** - For questions about best approaches
-- **Tag maintainers** - For urgent issues or clarifications
-
-### Maintainer Contact:
-- **Primary**: Dark Forest Labs Claude instances
-- **GitHub**: @darkforest-labs organization
-- **Response time**: Usually within 24-48 hours
-
-## 🙏 Recognition
-
-Contributors will be recognized:
-- **CHANGELOG.md** - Major contributions documented
-- **README.md** - Success stories section
-- **Git history** - Permanent record of improvements
-- **Issue credits** - Referenced in related documentation
-
----
-
-**Remember**: Every contribution, no matter how small, helps Claude Code instances deploy faster and more reliably. Your improvements will save tokens and time for the entire Claude ecosystem! 🚀
-
-*Thank you for making web deployment better for AI agents everywhere.*
\ No newline at end of file
diff --git a/.archive/documentation/_web_reference/DARK_FOREST_LABS_AGENT_GUIDE.md b/.archive/documentation/_web_reference/DARK_FOREST_LABS_AGENT_GUIDE.md
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--- a/.archive/documentation/_web_reference/DARK_FOREST_LABS_AGENT_GUIDE.md
+++ /dev/null
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-# Dark Forest Labs - Agent Coordination Guide
-
-This document provides specific guidance for Claude Code agents working on Dark Forest Labs properties and subdomains.
-
-## Ecosystem Overview
-
-Dark Forest Labs operates multiple AI-focused products across various subdomains:
-
-- **Main Site**: `darkforestlabs.com` - Company website with particle animation
-- **Q Studio**: `qstudio.darkforestlabs.com` - Quantum computing + NLP interface
-- **UnCAPTCHA**: `uncaptcha.darkforestlabs.com` - Agent verification API (excludes humans and bots)
-- **API Gateway**: `api.darkforestlabs.com` - Unified API endpoint for all services
-
-## Coordination Protocol
-
-### Primary Architect: Main Site Claude
-The Claude instance working on the main `darkforestlabs.com` site serves as the **Lead Architect and Standardization Authority** responsible for:
-
-- Architectural standardization across all properties
-- Design system consistency and unified visual identity
-- Infrastructure decisions and deployment strategy consensus
-- Cross-product integration standards and API design patterns
-- Documentation maintenance for shared resources
-
-### Product-Specific Claudes
-Each subdomain/product has its own specialized Claude instance:
-
-- **Q Studio Claude**: Quantum computing natural language interface
-- **UnCAPTCHA Claude**: Agent verification API development
-- **[Your Product] Claude**: [Your specific domain expertise]
-
-## Shared Infrastructure Standards
-
-### Established Architecture Decisions:
-- **Frontend Hosting**: AWS Amplify for all static sites
-- **Backend Services**: ECS Fargate for all APIs
-- **Database**: Aurora Serverless v2
-- **Load Balancing**: Single ALB serving all subdomains
-- **CI/CD Pipeline**: Standardized GitHub Actions workflow (see `validate.yml`)
-
-### Visual Identity Standards:
-- **Core Element**: Particle system animation (variations encouraged)
-- **Color Scheme**: Agent-friendly with Matrix-style green (#0f0) elements
-- **Typography**: Modern, clean fonts with good accessibility
-- **Agent Discovery**: Hidden features for technical users and AI agents
-
-### Agent-First Design Principles:
-- All APIs must include agent discovery features
-- Semantic HTML with microdata for agent parsing
-- Console messages with API documentation hints
-- Response headers indicating agent-friendly endpoints
-- WebSocket support where applicable for real-time features
-
-## Development Standards
-
-### Git Workflow:
-- Use `develop` → `main` branch strategy
-- All validation checks must pass before merge
-- Follow established commit message conventions
-
-### Quality Assurance:
-Copy the proven CI/CD pipeline from main site:
-- HTML5 and CSS validation
-- Security scanning for exposed secrets
-- Performance testing with Lighthouse CI
-- Accessibility testing with Pa11y
-- Code quality analysis
-
-### Documentation Requirements:
-Each product should maintain:
-- **PROJECT_STATUS.md** - Current deployment status
-- **LESSONS_LEARNED.md** - Product-specific learnings
-- **API_DOCUMENTATION.md** - Agent-friendly API docs
-- **DEPLOYMENT_GUIDE.md** - Setup instructions
-
-## Cross-Product Integration
-
-### API Design Patterns:
-- RESTful endpoints with consistent naming
-- Agent discovery endpoint: `/api/v1/agent/discover`
-- Product capabilities manifest at `/api/v1/capabilities`
-- WebSocket support at `/api/v1/ws/[feature]`
-
-### Shared Services:
-- Authentication through main site if applicable
-- Logging and monitoring through shared infrastructure
-- Error reporting and alerting coordination
-
-### Domain Structure:
-```
-darkforestlabs.com/ # Main company site
-├── www.darkforestlabs.com/ # Canonical website URL
-├── api.darkforestlabs.com/ # Unified API gateway
-├── qstudio.darkforestlabs.com/ # Quantum computing interface
-├── uncaptcha.darkforestlabs.com/ # Agent verification API
-└── [your-product].darkforestlabs.com/ # Your product subdomain
-```
-
-## Communication Protocol
-
-### Decision Making:
-1. **Product-specific decisions**: Handle autonomously within established standards
-2. **Cross-product changes**: Coordinate with Main Site Claude first
-3. **Infrastructure changes**: Require consensus from all affected Claudes
-4. **Security updates**: Immediate implementation, then coordinate
-
-### Documentation Updates:
-- Update your product-specific docs immediately
-- Share significant learnings with main site for central LESSONS_LEARNED.md
-- Coordinate major architectural changes through main site
-
-### Emergency Coordination:
-- Security issues: Implement fix immediately, then coordinate
-- Infrastructure failures: Check with main site for ecosystem-wide impact
-- Major updates: Plan rollout strategy together
-
-## Agent Discovery Features
-
-### Standard Implementation:
-All Dark Forest Labs properties should include:
-
-```html
-
-
-
-```
-
-```javascript
-// Agent-friendly console messages
-console.log(`
-╔═══════════════════════════════════════╗
-║ DARK FOREST LABS LLC ║
-║ [Your Product Name] ║
-║ ║
-║ API Docs: [your-api-docs-url] ║
-║ Agent Discovery: [your-discovery-endpoint] ║
-╚═══════════════════════════════════════╝
-`);
-```
-
-### Response Headers:
-```
-X-Agent-Friendly: true
-X-API-Docs: [your-api-docs-url]
-X-Capabilities: [comma-separated-capabilities]
-X-Dark-Forest-Product: [your-product-name]
-```
-
-## Deployment Checklist
-
-Before deploying your Dark Forest Labs subdomain:
-
-- [ ] Copy and customize the proven CI/CD pipeline (`validate.yml`)
-- [ ] Implement agent discovery features
-- [ ] Add consistent visual elements (particle system variation)
-- [ ] Configure custom subdomain with SSL
-- [ ] Set up monitoring and logging
-- [ ] Document API endpoints for agent consumption
-- [ ] Test cross-product integration points
-- [ ] Coordinate with Main Site Claude for final review
-
-## Resources
-
-### Template Files:
-- `validate.yml` - Proven CI/CD pipeline
-- `.gitignore` - Comprehensive exclusion rules
-- `.pa11yrc` - Accessibility testing configuration
-- `amplify.yml` - Basic Amplify build config
-
-### Reference Documentation:
-- `LESSONS_LEARNED.md` - 16+ proven solutions to common problems
-- `WEB_DEPLOYMENT_GUIDE.md` - General web deployment template
-- Main site repository for architectural patterns
-
-### Quick Start:
-```bash
-# Copy proven templates to your project
-cp _web_reference/* [your-subdomain-project]/
-
-# Customize for your product
-# Update domain references, product names, API endpoints
-# Modify validation rules as needed for your tech stack
-
-# Deploy following established patterns
-```
-
----
-
-**Remember**: We're building a cohesive ecosystem of AI-focused products. Consistency in infrastructure, security, and agent-friendliness across all properties strengthens the entire Dark Forest Labs brand and technical platform.
-
-*This coordination has been proven through successful multi-agent collaboration on the main site deployment.*
\ No newline at end of file
diff --git a/.archive/documentation/_web_reference/LESSONS_LEARNED.md b/.archive/documentation/_web_reference/LESSONS_LEARNED.md
deleted file mode 100644
index 3918861c..00000000
--- a/.archive/documentation/_web_reference/LESSONS_LEARNED.md
+++ /dev/null
@@ -1,343 +0,0 @@
-# Web Deployment - Lessons Learned Template
-
-## Related Documentation
-- **AI_AGENT_CI_CHECKLIST.md** - Systematic CI/CD debugging methodology for AI agents
-- **validate.yml** - Production-ready workflow implementation with all fixes applied
-- **WEB_DEPLOYMENT_GUIDE.md** - High-level deployment architecture and setup
-- **PROJECT_STATUS.md** - Current deployment status template
-
-## Project Overview
-This document captures proven solutions to common problems encountered during static website deployment with AWS Amplify and comprehensive CI/CD pipelines. These lessons can save hours of debugging time for future deployments.
-
-**[CUSTOMIZE]**: Update project details below
-**Date**: [Deployment Date]
-**Project**: [Your Domain/Project Name]
-**Technologies**: HTML5, JavaScript, AWS Amplify, GitHub Actions, Git, [Your Additional Tech]
-
----
-
-## Problems Encountered & Solutions
-
-### 1. GitHub Organization Naming
-**Problem**: Accidentally created organization with typo in name
-**Solution**: GitHub allows renaming organizations in settings → Organization settings → Rename organization
-**Lesson**: Double-check names before creating organizations; typos happen to everyone
-
-### 2. GitHub Repository Deploy Keys Disabled
-**Problem**: AWS Amplify CLI couldn't connect to GitHub - "Deploy keys are disabled for this repository"
-**Solution**: Used GitHub OAuth flow through Amplify Console UI instead of CLI
-**Lesson**: Organization settings may have different defaults than personal repos; UI often handles auth better than CLI
-
-### 3. Amplify Not Detecting Enhanced HTML File
-**Problem**: Amplify was looking for `index.html` but we had `index-enhanced.html`
-**Solution**: Renamed file to `index.html`
-**Lesson**: Keep standard naming conventions for entry points
-
-### 4. Git Not Recognizing File Changes
-**Problem**: After copying index-enhanced.html to index.html, git showed no changes
-**Solution**: Files were already identical in the repository
-**Lesson**: Check git status and diff before assuming files haven't updated
-
-### 5. Window Resize Breaking Particle Animation
-**Problem**: Particle ring didn't recalculate size on window resize
-**Solution**: Changed `const` declarations to `let` and recalculated dimensions in resize handler
-```javascript
-// Before
-const ringRadius = Math.min(canvas.width, canvas.height) * config.ringRadius;
-
-// After
-let ringRadius = Math.min(canvas.width, canvas.height) * config.ringRadius;
-// In resize handler:
-ringRadius = Math.min(canvas.width, canvas.height) * config.ringRadius;
-```
-**Lesson**: Consider mutability needs when declaring variables; resize handlers need to update dependent calculations
-
-### 6. GitHub Actions Only Running on Main Branch
-**Problem**: Workflow configured for `main` branch only, but we were developing on `develop`
-**Solution**: Updated workflow triggers to include both branches
-```yaml
-on:
- push:
- branches: [ main, develop ]
-```
-**Lesson**: Consider branch strategy when setting up workflows
-
-### 7. CSS Validation False Positive for backdrop-filter
-**Problem**: HTML5 validator didn't recognize valid `backdrop-filter` CSS property
-**Solution**: Initially tried blacklist patterns, but they didn't work. Final solution used `--ignore-re` parameter:
-```yaml
-# HTML5 Validation
-- name: HTML Validation
- uses: Cyb3r-Jak3/html5validator-action@v7.2.0
- with:
- root: .
- extra: --ignore-re "backdrop-filter"
-```
-**Lesson**: The `blacklist` parameter is for files/directories, not error messages. Use `--ignore-re` for validation error patterns.
-
-### 8. Binary Content Triggering API Safety Filters
-**Problem**: Trying to add binary/ASCII encoded message in HTML comments triggered safety systems
-**Solution**: Used placeholder text instead
-**Lesson**: Avoid encoded content in comments; API safety systems are vigilant
-
-### 9. Dropdown Width Issues
-**Problem**: Dropdown menu width calculations were complex with various CSS approaches
-**Solution**: Used `width: fit-content` with `min-width` for optimal sizing
-**Lesson**: Modern CSS properties like `fit-content` often solve layout issues elegantly
-
-### 10. Console.log vs Production Code
-**Problem**: Console.log statements in production (though intentional for agent discovery)
-**Solution**: Made workflow warn instead of error, acknowledging intentional usage
-**Lesson**: Distinguish between actual issues and intentional design choices in automated checks
-
-### 11. Security Scanning Finds Real Threats
-**Problem**: GitHub token accidentally committed in SESSION_NOTES.md
-**Solution**: User immediately revoked token, removed from file, improved scanner exclusions
-```yaml
-# Before: False positives from .github directory
-if grep -r "ghp_\|ghs_\|ghu_" . --exclude-dir=.git --exclude-dir=node_modules; then
-
-# After: Exclude .github to avoid false positives
-if grep -r "ghp_\|ghs_\|ghu_" . --exclude-dir=.git --exclude-dir=.github --exclude-dir=node_modules; then
-```
-**Lesson**: Security scanning works! False positives are better than missed real threats. User's insistence on security scanning literally prevented security incident.
-
-### 12. Lighthouse CI Artifact Upload Issues
-**Problem**: `Create Artifact Container failed: The artifact name lighthouse-results is not valid`
-**Solution**: Disabled artifact upload and removed non-existent config file reference
-```yaml
-# Before: Problematic upload
-uploadArtifacts: true
-temporaryPublicStorage: true
-configPath: '.github/lighthouse/lighthouserc.json'
-
-# After: Simple validation without artifacts
-uploadArtifacts: false
-temporaryPublicStorage: false
-```
-**Lesson**: Start simple with CI tools. Artifact upload requires specific permissions/configuration. Core functionality first, nice-to-haves later.
-
-### 13. Pa11y Chrome Sandbox in GitHub Actions
-**Problem**: Pa11y failed with "No usable sandbox!" Chrome error in CI environment
-**Solution**: Multiple attempts and debugging:
-1. ❌ Wrong syntax: `--chromium-args="--no-sandbox"`
-2. ❌ .pa11yrc file had JSON syntax errors
-3. ✅ Create config directly in workflow with heredoc
-```yaml
-# Final working solution
-cat > pa11y-config.json << 'EOF'
-{
- "chromeLaunchConfig": {
- "args": [
- "--no-sandbox",
- "--disable-setuid-sandbox",
- "--disable-dev-shm-usage",
- "--disable-gpu"
- ]
- },
- "standard": "WCAG2AA"
-}
-EOF
-```
-**Lesson**: CI environments need special Chrome flags. JSON config files can have encoding issues. When file parsing fails repeatedly, generate content directly in CI environment.
-
-### 14. Systematic Debugging Approach
-**Problem**: Multiple CI/CD validation failures across different jobs
-**Solution**: "One error at a time" approach - fix each validation issue individually and test
-**Lesson**: Don't try to fix everything at once in CI/CD. Each fix validates the approach and builds confidence. Systematic debugging prevents regression and identifies root causes.
-
-### 15. Workflow Trigger Duplication
-**Problem**: Each push triggered two workflow runs (push event + PR synchronize event)
-**Understanding**: Both triggers were intentional:
-```yaml
-on:
- pull_request:
- branches: [ main, develop ] # Validates PRs
- push:
- branches: [ main, develop ] # Validates direct pushes
-```
-**Lesson**: Duplicate CI runs aren't always a problem. Push validation + PR validation provides comprehensive coverage. Consider whether double validation is worth the CI minutes.
-
-### 16. Custom Domain Setup with Route 53 and Amplify
-**Problem**: Setting up custom domain with proper SSL and redirects
-**Solution**: Use Route 53 hosted zone approach:
-1. Create Route 53 hosted zone for domain
-2. Add domain to Amplify with redirect checkbox (apex → www)
-3. Update registrar nameservers to Route 53
-4. Amplify automatically creates DNS records and SSL certificates
-**Lesson**: Route 53 + Amplify integration is seamless. Let AWS handle DNS record creation automatically. DNS propagation takes 10-48 hours globally. "Deployed" status in Amplify means AWS side is ready - just waiting for DNS propagation.
-
----
-
-## Architectural Decisions & Rationale
-
-### 1. Git Branch Strategy
-**Decision**: Use `develop` → `main` flow
-**Rationale**:
-- Allows testing on staging before production
-- Follows enterprise patterns at minimal cost
-- Enables different CI/CD rules per environment
-
-### 2. Frontend Hosting: AWS Amplify
-**Decision**: Amplify for all static frontend hosting
-**Rationale**:
-- Essentially free for static sites
-- Built-in CI/CD from GitHub
-- Automatic HTTPS
-- Global CDN included
-
-### 3. Backend Architecture: ECS Fargate (Future)
-**Decision**: Standardize on ECS Fargate for all APIs
-**Rationale**:
-- Consensus among all Claude instances (main, qstudio, uncaptcha)
-- Scales to zero (cost efficient)
-- Consistent deployment pattern
-- No server management
-
-### 4. Comprehensive GitHub Actions Workflow
-**Decision**: Multiple job stages with different check types
-**Rationale**:
-- Catches issues early
-- Separates concerns (security, performance, accessibility)
-- Provides clear feedback
-- Educational for "overbuilding slightly"
-
----
-
-## Best Practices Established
-
-### 1. Progressive Enhancement
-- Start with working basics (static HTML)
-- Layer on enhancements (particle system)
-- Ensure graceful degradation
-
-### 2. Security-First Mindset
-- Never commit credentials
-- Automated secret scanning
-- Validate inputs even for static sites
-
-### 3. Performance Budgets
-- Set Lighthouse thresholds
-- Monitor file sizes
-- Track initialization time
-
-### 4. Accessibility as Foundation
-- WCAG 2.0 AA compliance from start
-- Automated a11y testing
-- Consider all users
-
-### 5. Documentation Discipline
-- Document architectural decisions
-- Maintain CLAUDE.md for AI agents
-- Create guides for other developers
-
----
-
-## Workflow & CI/CD Pipeline
-
-### Current Workflow Structure
-```
-.github/workflows/validate.yml
-├── Core Validation (HTML, CSS, Security, File Sizes)
-├── Performance Testing (Lighthouse CI)
-├── Accessibility Testing (Pa11y)
-├── Code Quality (JS Analysis)
-├── Browser Compatibility
-└── Summary (All checks must pass)
-```
-
-### Key Workflow Features
-1. **Parallel Jobs**: Different checks run simultaneously
-2. **Conditional Warnings vs Errors**: Some issues warn, others block
-3. **Artifact Upload**: Lighthouse reports saved for review
-4. **Extensible**: Easy to add new check types
-
----
-
-## Communication Patterns
-
-### Between Claude Instances
-1. **Consensus Building**: All three Claudes agreed on ECS architecture
-2. **Role Clarity**: Main Claude handles standardization
-3. **Documentation Sharing**: This document will be shared
-
-### With Humans
-1. **Explain Changes**: Always explain why, not just what
-2. **Admit Mistakes**: "I was too eager to ship"
-3. **Educational Approach**: "This is why we do X"
-
----
-
-## Future Improvements Identified
-
-### Immediate
-1. Add keyboard navigation to dropdown
-2. Implement `prefers-reduced-motion` support
-3. Add service worker for offline capability
-
-### Medium-term
-1. Visual regression testing
-2. Custom domain setup
-3. Backend API deployment
-
-### Long-term
-1. Multi-region deployment
-2. Advanced monitoring
-3. A/B testing framework
-
----
-
-## Key Takeaways
-
-1. **Start Simple, Enhance Progressively**: Basic HTML → Particles → Interactions
-2. **Automate Quality Checks Early**: Easier to maintain standards from beginning
-3. **Document Everything**: Future you (or other agents) will thank you
-4. **Test in Production-like Environment**: Develop branch mimics production
-5. **Listen to Feedback**: Human caught my "disable CSS validation" shortcut
-6. **Consensus Matters**: Three Claudes agreed on architecture = better decision
-7. **Small Costs for Big Benefits**: ~$1/month for proper CI/CD is worth it
-
----
-
-## For Other Claude Code Agents
-
-When working on Dark Forest Labs projects:
-
-1. **Check CLAUDE.md First**: Contains architecture standards
-2. **Use Established Patterns**: ECS for backend, Amplify for frontend
-3. **Coordinate Changes**: Main Claude handles standardization
-4. **Run Workflows Locally**: Test before pushing
-5. **Document Decisions**: Add to this file or create new ones
-
-### Quick Reference Commands
-```bash
-# Local development
-python -m http.server 8000
-
-# Git workflow
-git checkout -b feature/new-feature
-git add .
-git commit -m "Description"
-git push -u origin feature/new-feature
-
-# Check workflow status
-# Visit: https://github.com/darkforest-labs/[repo]/actions
-```
-
----
-
-## Conclusion
-
-This deployment established solid foundations:
-- ✅ Professional CI/CD pipeline
-- ✅ Automated quality checks
-- ✅ Clear architectural patterns
-- ✅ Documentation standards
-- ✅ Multi-Claude coordination
-
-The particle animation website is just the beginning. The real value is in the robust development practices and infrastructure we've established for Dark Forest Labs' future growth.
-
----
-
-*Last Updated: January 2025*
-*Maintained by: Dark Forest Labs Claude Instances*
\ No newline at end of file
diff --git a/.archive/documentation/_web_reference/PROJECT_STATUS.md b/.archive/documentation/_web_reference/PROJECT_STATUS.md
deleted file mode 100644
index 1e9abd11..00000000
--- a/.archive/documentation/_web_reference/PROJECT_STATUS.md
+++ /dev/null
@@ -1,140 +0,0 @@
-# [YOUR_PROJECT_NAME] - Project Status Template
-
-**[CUSTOMIZE]**: Update project details below
-**Last Updated**: [Current Date]
-**Project**: [Your Domain/Project Name]
-**Status**: [Current Deployment Status - e.g., ✅ CI/CD PIPELINE FULLY OPERATIONAL]
-
-## Current State
-
-### Website Features
-**[CUSTOMIZE]**: Update feature list for your project
-- ✅ [Core feature 1 - e.g., Interactive particle animation system]
-- ✅ [Core feature 2 - e.g., Professional navigation menu]
-- ✅ [Special feature - e.g., Easter egg or hidden features]
-- ✅ [Agent features - e.g., Agent-friendly discovery features]
-- ✅ [Technical feature - e.g., Responsive design with proper resize handling]
-- ✅ [Code quality - e.g., Global error handling]
-- ✅ [Monitoring - e.g., Performance monitoring]
-
-### Infrastructure
-**[CUSTOMIZE]**: Update with your GitHub and hosting details
-- ✅ GitHub Organization: `[your-github-org]`
-- ✅ Repository: `[your-github-org]/[your-repo-name]`
-- ✅ AWS Amplify deployment configured
-- ✅ CI/CD pipeline active
-- ✅ Comprehensive GitHub Actions workflow
-
-### URLs
-**[CUSTOMIZE]**: Update with your actual URLs
-- **Production**: https://[your-domain.com] ([DNS status])
-- **Staging**: https://develop.[your-amplify-id].amplifyapp.com
-- **Amplify URLs**: https://main.[your-amplify-id].amplifyapp.com (fallback)
-
-## Workflow Status
-
-### GitHub Actions (Runs on every push)
-**[CUSTOMIZE]**: Update status indicators based on your pipeline results
-| Check | Status | Description |
-|-------|--------|-------------|
-| HTML Validation | [✅/❌] | Validates HTML5 compliance |
-| CSS Validation | [✅/❌] | Checks CSS ([specific ignored properties if any]) |
-| Security Scanning | [✅/❌] | Scans for exposed secrets ([your security scanning results]) |
-| Performance | [✅/❌] | Lighthouse CI ([your performance optimizations]) |
-| Accessibility | [✅/❌] | Pa11y WCAG 2.0 AA ([your accessibility status]) |
-| Code Quality | [✅/❌] | JavaScript analysis |
-| Browser Compatibility | [✅/❌] | Modern feature detection |
-
-### Branch Strategy
-- `main` → Production (protected)
-- `develop` → Staging (active development)
-
-## Recent Achievements ([Your Development Session])
-
-**[CUSTOMIZE]**: Update with your specific achievements and issues resolved
-
-### ✅ Issues Resolved
-- **[Issue 1]**: [Brief description of problem and solution]
-- **[Issue 2]**: [Brief description of problem and solution]
-- **[Issue 3]**: [Brief description of problem and solution]
-- **[Issue 4]**: [Brief description of problem and solution]
-- **[Overall achievement]**: [Summary of what was accomplished]
-
-### 🔧 Debugging Approach Used
-**[CUSTOMIZE]**: Document your development methodology
-- [Your debugging approach - e.g., "One error at a time methodology"]
-- [Key insights gained during development]
-- [Documentation practices established]
-
-## Next Steps
-
-**[CUSTOMIZE]**: Update with your project roadmap
-
-### Immediate
-- [ ] [Your immediate task 1]
-- [ ] [Your immediate task 2]
-- [ ] [Your immediate task 3]
-
-### Short-term
-- [ ] [Your short-term goal 1]
-- [ ] [Your short-term goal 2]
-- [ ] [Your short-term goal 3]
-
-### Medium-term
-- [ ] [Your medium-term goal 1]
-- [ ] [Your medium-term goal 2]
-- [ ] [Your medium-term goal 3]
-
-## For Other Development Team Members
-
-**[CUSTOMIZE]**: Update with your team coordination notes
-
-### [Team Member/Claude Instance 1]
-- [Instructions or notes for this team member]
-- [Shared resources they can use]
-- [Dependencies or coordination needed]
-
-### [Team Member/Claude Instance 2]
-- [Instructions or notes for this team member]
-- [Shared resources they can use]
-- [Dependencies or coordination needed]
-
-### All Team Members
-- Check LESSONS_LEARNED.md for common issues
-- Follow workflow in .github/workflows/validate.yml
-- [Your coordination protocol]
-
-## Quick Commands
-
-**[CUSTOMIZE]**: Update with your project's repository and URLs
-
-```bash
-# Clone and setup
-git clone git@github.com:[your-org]/[your-repo].git
-cd [your-repo]
-git checkout develop
-
-# Local development
-[your-local-dev-command - e.g., python -m http.server 8000]
-
-# Create feature branch
-git checkout -b feature/your-feature
-
-# View deployment
-# Staging: [your-staging-url]
-# Production: [your-production-url]
-```
-
-## Architecture Decisions Made
-
-**[CUSTOMIZE]**: Update with your specific architectural decisions
-
-1. **Frontend**: [Your frontend hosting solution - e.g., AWS Amplify]
-2. **Backend**: [Your backend solution - e.g., ECS Fargate]
-3. **Database**: [Your database choice - e.g., Aurora Serverless v2]
-4. **CI/CD**: [Your CI/CD solution - e.g., GitHub Actions + Amplify]
-5. **Branches**: [Your branch strategy - e.g., develop → main flow]
-
----
-
-*Last Updated: [Current Date]. Check git history for latest updates.*
\ No newline at end of file
diff --git a/.archive/documentation/_web_reference/README.md b/.archive/documentation/_web_reference/README.md
deleted file mode 100644
index 2d69fd9f..00000000
--- a/.archive/documentation/_web_reference/README.md
+++ /dev/null
@@ -1,186 +0,0 @@
-# Claude Web Deployment Templates
-
-Battle-tested templates for Claude Code instances deploying static websites with professional CI/CD pipelines.
-
-## 🚀 Quick Start
-
-```bash
-# 1. Copy templates to your project
-cp -r templates/* /path/to/your/project/
-
-# 2. Set up configuration files
-cp .gitignore.template /path/to/your/project/.gitignore
-cp .pa11yrc.template /path/to/your/project/.pa11yrc
-cp amplify.yml.template /path/to/your/project/amplify.yml
-
-# 3. Set up GitHub Actions workflow
-mkdir -p /path/to/your/project/.github/workflows
-cp validate.yml.template /path/to/your/project/.github/workflows/validate.yml
-
-# 4. Customize placeholders
-# Replace [YOUR_PROJECT_NAME], [your-domain.com], etc. in copied files
-
-# 5. Initialize git and deploy
-cd /path/to/your/project
-git init
-git add .
-git commit -m "Initial deployment with Claude templates"
-```
-
-## 📚 Template Files
-
-### Core Templates
-- **`WEB_DEPLOYMENT_GUIDE.md`** - Complete deployment architecture guide
-- **`validate.yml`** - Production GitHub Actions workflow (copy to `.github/workflows/`)
-- **`LESSONS_LEARNED.md`** - 16+ battle-tested solutions to common problems
-- **`PROJECT_STATUS.md`** - Deployment status tracking template
-
-### Specialized Guides
-- **`AI_AGENT_CI_CHECKLIST.md`** - Systematic debugging methodology (17 sections, 762 lines)
-- **`DARK_FOREST_LABS_AGENT_GUIDE.md`** - Multi-agent ecosystem coordination
-
-### Configuration Files
-- **`amplify.yml.template`** - AWS Amplify build configuration (copy to `amplify.yml`)
-- **`validate.yml.template`** - GitHub Actions workflow (copy to `.github/workflows/validate.yml`)
-- **`.gitignore.template`** - Comprehensive ignore patterns (copy to `.gitignore`)
-- **`.pa11yrc.template`** - Accessibility testing configuration (copy to `.pa11yrc`)
-
-## 🔧 Customization Required
-
-**Search and replace these placeholders in all copied files:**
-
-```bash
-# Project identifiers
-[YOUR_PROJECT_NAME] → Your actual project name
-[your-domain.com] → Your domain
-[your-github-org] → Your GitHub organization
-[your-repo-name] → Your repository name
-
-# Infrastructure identifiers
-[your-amplify-id] → Your Amplify app ID
-[your-staging-url] → Your staging URL
-[your-production-url] → Your production URL
-
-# Development specifics
-[your-local-dev-command] → Your local server command
-[Your Additional Tech] → Your additional technologies
-```
-
-## ✅ Proven Solutions Included
-
-These templates contain fixes for **16+ common deployment issues**:
-
-1. ✅ **GitHub organization setup** and deploy key issues
-2. ✅ **Window resize handling** in JavaScript applications
-3. ✅ **CSS validation false positives** (backdrop-filter)
-4. ✅ **GitHub Actions workflow triggers** and branch strategy
-5. ✅ **Security scanning** (prevented real token exposure)
-6. ✅ **Lighthouse CI configuration** and artifact handling
-7. ✅ **Pa11y accessibility testing** in CI environments
-8. ✅ **Path structure validation** for different project layouts
-9. ✅ **Container security vulnerabilities** (distroless migration)
-10. ✅ **AWS CloudShell deployment** issues and networking
-11. ✅ **ECS Fargate networking** and NAT Gateway troubleshooting
-12. ✅ **Database configuration** security patterns
-13. ✅ **Environment variable validation** and secret management
-14. ✅ **Tool version compatibility** (Codecov v5, Pydantic v2)
-15. ✅ **File encoding and tool compatibility** issues
-16. ✅ **Systematic debugging methodology** for complex CI/CD failures
-
-## 🎯 Supported Deployment Patterns
-
-### Frontend Hosting
-- **AWS Amplify** (primary pattern)
-- **GitHub Pages** (alternative)
-- **Netlify** (alternative)
-
-### Backend Services
-- **ECS Fargate** (recommended)
-- **Lambda Functions** (serverless)
-- **EC2** (traditional hosting)
-
-### Databases
-- **Aurora Serverless v2** (recommended)
-- **RDS** (traditional)
-- **DynamoDB** (NoSQL)
-
-## 🔒 Security Features
-
-- **Comprehensive secret scanning** in CI/CD pipeline
-- **Container security scanning** with Trivy and Snyk
-- **SARIF report upload** to GitHub Security tab
-- **Dependency vulnerability scanning** with Safety and Bandit
-- **Automated security updates** via Dependabot patterns
-
-## 🚀 CI/CD Pipeline Features
-
-The `validate.yml` workflow provides:
-
-- **HTML5 and CSS validation** with smart error filtering
-- **Security scanning** for exposed secrets and vulnerabilities
-- **Performance testing** with Lighthouse CI (90+ scores)
-- **Accessibility testing** with Pa11y (WCAG 2.0 AA)
-- **Code quality analysis** for JavaScript and other languages
-- **Browser compatibility checks** with polyfill recommendations
-- **Parallel job execution** for faster feedback
-- **Conditional external services** (Codecov, Snyk) that don't break workflows
-
-## 🤝 For Claude Code Instances
-
-### Usage Instructions
-1. **Read the documentation first** - Check `WEB_DEPLOYMENT_GUIDE.md` for architecture overview
-2. **Start with working templates** - Copy `validate.yml` for immediate CI/CD
-3. **Follow systematic debugging** - Use `AI_AGENT_CI_CHECKLIST.md` when issues arise
-4. **Learn from experience** - Review `LESSONS_LEARNED.md` for context on solutions
-5. **Track your progress** - Use `PROJECT_STATUS.md` to monitor deployment status
-
-### Contributing Back
-Found a new issue? Fixed a problem not covered here?
-
-1. Document your solution in the **AI_AGENT_CI_CHECKLIST.md** format
-2. Add the lesson learned to **LESSONS_LEARNED.md**
-3. Update **validate.yml** if workflow changes are needed
-4. Submit improvements back to this repository
-
-## 📈 Token Savings
-
-These templates save **thousands of tokens** by preventing:
-- Rediscovering the same 16+ common deployment issues
-- Recreating CI/CD workflows from scratch
-- Re-debugging Pa11y Chrome sandbox configurations
-- Re-learning AWS Amplify deployment patterns
-- Rebuilding security scanning configurations
-
-**Estimated savings: 5,000-10,000 tokens per deployment**
-
-## 🏗 Architecture Standards
-
-Templates follow established patterns:
-- **Frontend**: AWS Amplify for static hosting
-- **Backend**: ECS Fargate for APIs
-- **Database**: Aurora Serverless v2
-- **CI/CD**: GitHub Actions + Amplify
-- **Security**: Defense-in-depth with automated scanning
-- **Monitoring**: Lighthouse + Pa11y + security reports
-
-## 📞 Support
-
-- **Issues**: Use GitHub Issues for template problems
-- **Improvements**: Submit Pull Requests for enhancements
-- **Questions**: Check `LESSONS_LEARNED.md` first for common solutions
-
----
-
-**Generated by Dark Forest Labs Claude instances**
-*Battle-tested through real-world deployments*
-*Continuously updated with new solutions*
-
-## 🌟 Success Stories
-
-These templates have successfully deployed:
-- **Dark Forest Labs main site** - Interactive particle animation with comprehensive CI/CD
-- **UnCAPTCHA API** - Agent verification service with ECS Fargate
-- **Q Studio** - Quantum computing natural language interface
-- **Multiple static websites** with professional deployment pipelines
-
-**Ready to save yourself hours of debugging?** Start with the Quick Start guide above! 🚀
\ No newline at end of file
diff --git a/.archive/documentation/_web_reference/WEB_DEPLOYMENT_GUIDE.md b/.archive/documentation/_web_reference/WEB_DEPLOYMENT_GUIDE.md
deleted file mode 100644
index c917d8ae..00000000
--- a/.archive/documentation/_web_reference/WEB_DEPLOYMENT_GUIDE.md
+++ /dev/null
@@ -1,158 +0,0 @@
-# Web Deployment Guide
-
-## Related Documentation
-- **AI_AGENT_CI_CHECKLIST.md** - Systematic CI/CD issue debugging for AI agents (17 sections, 762 lines)
-- **LESSONS_LEARNED.md** - Battle-tested solutions with human context (16+ problems solved)
-- **validate.yml** - Production-ready GitHub Actions workflow template
-- **PROJECT_STATUS.md** - Status tracking template with customization points
-
-This file provides guidance for deploying static websites with professional CI/CD pipelines and AWS infrastructure.
-
-## Overview
-
-Template for deploying static websites with:
-- Comprehensive CI/CD validation pipeline
-- AWS Amplify hosting with custom domains
-- Professional development workflow
-- Security scanning and quality assurance
-
-## Project Structure Template
-
-```
-[YOUR_PROJECT_NAME]/
-├── index.html # Main website file
-├── .github/workflows/ # CI/CD pipeline
-│ └── validate.yml # Comprehensive validation checks
-├── old/ # Version archive (optional)
-├── venv/ # Python virtual environment (for tooling)
-├── .gitignore # Git exclusions
-├── .pa11yrc # Accessibility testing config
-├── amplify.yml # AWS Amplify build config
-└── [content files] # Your website assets
-```
-
-## Development Commands
-
-For static HTML/CSS/JavaScript projects:
-
-```bash
-# Serve locally (Python 3)
-python -m http.server 8000
-
-# Serve locally (Python 2)
-python -m SimpleHTTPServer 8000
-
-# Serve locally (Node.js)
-npx http-server
-```
-
-## Quality Assurance Pipeline
-
-The included GitHub Actions workflow provides:
-
-### 1. **Core Validation**
-- HTML5 and CSS validation (with common false positive handling)
-- Security scanning for exposed secrets
-- File size limits for performance
-- Required file structure checks
-
-### 2. **Performance Testing**
-- Lighthouse CI with configurable budgets
-- Page load time monitoring
-- Performance regression detection
-
-### 3. **Accessibility Testing**
-- WCAG 2.0 AA compliance validation
-- Pa11y automated testing with Chrome sandbox configuration
-- Color contrast validation
-
-### 4. **Code Quality**
-- JavaScript static analysis
-- Error handling verification
-- Best practices enforcement
-
-### 5. **Browser Compatibility**
-- Modern feature detection
-- Compatibility recommendations
-
-## Deployment Architecture
-
-### Recommended AWS Stack:
-- **Frontend Hosting**: AWS Amplify
-- **Domain Management**: Route 53 hosted zones
-- **Security**: AWS WAF (Web Application Firewall)
-- **SSL Certificates**: AWS Certificate Manager (automatic)
-- **CDN**: CloudFront (included with Amplify)
-
-### Development Workflow:
-- `develop` branch → Staging environment
-- `main` branch → Production environment
-- All validation checks must pass before merge
-- Automatic deployment on push
-
-## Setup Instructions
-
-### 1. Repository Setup
-```bash
-# Copy template files to your project
-cp _web_reference/* [YOUR_PROJECT]/
-cd [YOUR_PROJECT]
-
-# Initialize git if needed
-git init
-git add .
-git commit -m "Initial commit with web deployment template"
-```
-
-### 2. GitHub Repository
-- Create repository: `[YOUR_GITHUB_ORG]/[YOUR_PROJECT]`
-- Push code to repository
-- GitHub Actions will run automatically
-
-### 3. AWS Amplify Setup
-- Connect GitHub repository to Amplify
-- Enable automatic deployments
-- Configure custom domain (optional)
-
-### 4. Domain Configuration (Optional)
-- Create Route 53 hosted zone
-- Add domain to Amplify with redirect settings
-- Update nameservers at domain registrar
-- Enable AWS WAF protection
-
-## Customization Points
-
-### Update These Values:
-- `[YOUR_PROJECT_NAME]` → Your actual project name
-- `[YOUR_GITHUB_ORG]` → Your GitHub organization
-- `[YOUR_DOMAIN]` → Your custom domain (if using)
-- Repository URLs in documentation
-- Company/project specific branding
-
-### Configuration Files:
-- **validate.yml**: Adjust validation rules for your needs
-- **.gitignore**: Add project-specific exclusions
-- **amplify.yml**: Modify build commands if needed
-- **.pa11yrc**: Configure accessibility testing standards
-
-## Common Issues & Solutions
-
-Refer to `LESSONS_LEARNED.md` for detailed solutions to common deployment challenges including:
-
-- CI/CD validation failures and fixes
-- DNS propagation and domain setup
-- Security scanning false positives
-- Accessibility testing in GitHub Actions
-- Performance optimization strategies
-
-## Reference Files
-
-- **LESSONS_LEARNED.md** - Proven solutions to common problems
-- **PROJECT_STATUS.md** - Template for tracking deployment progress
-- **validate.yml** - Battle-tested CI/CD pipeline
-- **.gitignore** - Comprehensive exclusion rules
-- **.pa11yrc** - Working accessibility test configuration
-
----
-
-*This template was battle-tested through multiple production deployments and systematic debugging of 15+ common CI/CD issues. All configurations are proven to work in real-world scenarios.*
\ No newline at end of file
diff --git a/.archive/documentation/_web_reference/amplify.yml.template b/.archive/documentation/_web_reference/amplify.yml.template
deleted file mode 100644
index 5b1a4210..00000000
--- a/.archive/documentation/_web_reference/amplify.yml.template
+++ /dev/null
@@ -1,12 +0,0 @@
-version: 1
-frontend:
- phases:
- build:
- commands:
- - echo "No build step required for static site"
- artifacts:
- baseDirectory: /
- files:
- - '**/*'
- cache:
- paths: []
\ No newline at end of file
diff --git a/.archive/documentation/_web_reference/validate.yml.template b/.archive/documentation/_web_reference/validate.yml.template
deleted file mode 100644
index 3068a9df..00000000
--- a/.archive/documentation/_web_reference/validate.yml.template
+++ /dev/null
@@ -1,213 +0,0 @@
-# Comprehensive Web Deployment Validation Pipeline
-# This workflow provides enterprise-grade quality assurance for static websites
-# Customize branch names and validation rules as needed for your project
-
-name: Comprehensive Validation & Testing
-
-on:
- pull_request:
- branches: [ main, develop ] # [CUSTOMIZE]: Add your branch names
- push:
- branches: [ main, develop ] # [CUSTOMIZE]: Add your branch names
-
-jobs:
- # Job 1: Core Validation
- validate:
- runs-on: ubuntu-latest
- name: Core Validation
-
- steps:
- - uses: actions/checkout@v3
-
- # HTML5 Validation
- - name: HTML Validation
- uses: Cyb3r-Jak3/html5validator-action@v7.2.0
- with:
- root: .
- extra: --ignore-re "backdrop-filter" # [CUSTOMIZE]: Add CSS properties to ignore
-
- # Security: Check for exposed secrets
- - name: Security - Secret Scanning
- run: |
- # Check for potential secrets (exclude docs, .git, .github, node_modules)
- # [CUSTOMIZE]: Add your documentation files to exclude list
- if grep -r "ghp_\|ghs_\|ghu_" . --exclude-dir=.git --exclude-dir=.github --exclude-dir=node_modules --exclude="*LESSONS_LEARNED.md" --exclude="*README.md" --exclude="*WEB_DEPLOYMENT_GUIDE.md"; then
- echo "ERROR: Possible GitHub token found!"
- exit 1
- fi
- if grep -r "AKIA[0-9A-Z]\{16\}" . --exclude-dir=.git --exclude-dir=.github --exclude-dir=node_modules --exclude="*LESSONS_LEARNED.md" --exclude="*README.md" --exclude="*WEB_DEPLOYMENT_GUIDE.md"; then
- echo "ERROR: Possible AWS key found!"
- exit 1
- fi
- if grep -r "AIza[0-9A-Za-z_-]\{35\}" . --exclude-dir=.git --exclude-dir=.github --exclude-dir=node_modules --exclude="*LESSONS_LEARNED.md" --exclude="*README.md" --exclude="*WEB_DEPLOYMENT_GUIDE.md"; then
- echo "ERROR: Possible API key found!"
- exit 1
- fi
- echo "✓ No secrets detected"
-
- # File size checks
- - name: Performance - File Size Check
- run: |
- # Warn if any file is over 1MB (images, etc)
- find . -type f -size +1M -exec echo "WARNING: Large file: {} ($(du -h {} | cut -f1))" \;
-
- # Error if HTML/JS/CSS files are over 100KB
- for file in $(find . -name "*.html" -o -name "*.js" -o -name "*.css"); do
- size=$(stat -c%s "$file" 2>/dev/null || stat -f%z "$file" 2>/dev/null)
- if [ "$size" -gt 102400 ]; then
- echo "ERROR: $file is over 100KB ($(du -h $file | cut -f1))"
- exit 1
- fi
- done
- echo "✓ File sizes OK"
-
- # Check for required files
- - name: Structure - Required Files
- run: |
- # [CUSTOMIZE]: Modify required files list for your project structure
- required_files=("index.html" "amplify.yml" ".gitignore")
- for file in "${required_files[@]}"; do
- if [ ! -f "$file" ]; then
- echo "ERROR: Required file missing: $file"
- exit 1
- fi
- done
- echo "✓ All required files present"
-
- # Job 2: Performance Testing
- performance:
- runs-on: ubuntu-latest
- name: Performance & Best Practices
-
- steps:
- - uses: actions/checkout@v3
-
- # Simple HTTP server for Lighthouse
- - name: Start HTTP Server
- run: |
- python -m http.server 8000 &
- sleep 3
-
- # Lighthouse CI
- - name: Lighthouse CI
- uses: treosh/lighthouse-ci-action@v10
- with:
- urls: |
- http://localhost:8000
- uploadArtifacts: false
- temporaryPublicStorage: false
-
- # Job 3: Accessibility Testing
- accessibility:
- runs-on: ubuntu-latest
- name: Accessibility (a11y)
-
- steps:
- - uses: actions/checkout@v3
-
- # Pa11y accessibility testing
- - name: Setup Node
- uses: actions/setup-node@v3
- with:
- node-version: '18'
-
- - name: Accessibility Tests
- run: |
- npm install -g pa11y
- python -m http.server 8000 &
- sleep 3
-
- # Create Pa11y config file directly in workflow to avoid encoding issues
- cat > pa11y-config.json << 'EOF'
- {
- "chromeLaunchConfig": {
- "args": [
- "--no-sandbox",
- "--disable-setuid-sandbox",
- "--disable-dev-shm-usage",
- "--disable-gpu"
- ]
- },
- "standard": "WCAG2AA"
- }
- EOF
-
- # Validate the generated config
- echo "Generated config:"
- cat pa11y-config.json
- node -e "console.log('Config is valid:', JSON.stringify(require('./pa11y-config.json'), null, 2))"
-
- # Basic accessibility check
- pa11y http://localhost:8000 --config pa11y-config.json || true
-
- # Check for color contrast issues with higher threshold
- pa11y http://localhost:8000 --config pa11y-config.json --threshold 5
-
- # Job 4: Code Quality
- code-quality:
- runs-on: ubuntu-latest
- name: Code Quality & Best Practices
-
- steps:
- - uses: actions/checkout@v3
-
- # JavaScript analysis (even for inline scripts)
- - name: Extract and Analyze JavaScript
- run: |
- # Extract JS from HTML files
- mkdir -p .temp
- for file in *.html; do
- # Extract content between script tags
- sed -n '/