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3 changes: 3 additions & 0 deletions .gitignore
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# MkDocs documentation
site/

# Claude Code symlink (should not be committed)
.claude
165 changes: 165 additions & 0 deletions AI_IMPROVEMENT_TASKS.md
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# Plan-Lint AI-Assisted Improvement Tasks

Based on code review analysis, here are specific tasks that would benefit from AI agent assistance:

## 🚀 High Priority Improvements

### 1. Enhanced Error Detection and Reporting
**Task**: Implement more sophisticated error detection patterns
- **Location**: `src/plan_lint/core.py:46-108`
- **Issue**: Current bounds checking could be enhanced with nested parameter support
- **AI Task**: Implement recursive bounds checking for nested JSON structures and arrays
- **Benefit**: Better validation of complex plan structures

### 2. Cycle Detection Algorithm Optimization
**Task**: Replace naive cycle detection with proper graph-based algorithm
- **Location**: `src/plan_lint/core.py:151-181`
- **Issue**: Current implementation is naive and may miss complex dependency cycles
- **AI Task**: Implement Tarjan's algorithm for strongly connected components
- **Benefit**: More robust cycle detection, better performance on large plans

### 3. Risk Score Calculation Enhancement
**Task**: Implement ML-based dynamic risk scoring
- **Location**: `src/plan_lint/core.py:183-210`
- **Issue**: Current risk calculation is simplistic with fixed weights
- **AI Task**: Create adaptive risk scoring based on historical data patterns
- **Benefit**: More accurate risk assessment tailored to specific environments

## 🔧 Code Quality Improvements

### 4. Type Safety Enhancements
**Task**: Add comprehensive type hints and runtime validation
- **Locations**: Multiple files missing complete type annotations
- **AI Task**: Add missing type hints, implement runtime type checking with beartype
- **Benefit**: Better IDE support, catch type errors early

### 5. Test Coverage Expansion
**Task**: Increase test coverage to 90%+
- **Current**: Tests exist but coverage appears incomplete
- **AI Task**: Generate comprehensive test cases for edge cases and error paths
- **Focus Areas**:
- `src/plan_lint/opa.py` - OPA integration edge cases
- `src/plan_lint/loader.py` - File loading error scenarios
- Rule modules - Various validation scenarios

### 6. Performance Profiling and Optimization
**Task**: Profile and optimize validation performance
- **Location**: Core validation loops in `validate_plan_builtin`
- **AI Task**:
- Add performance benchmarks
- Implement parallel validation for independent checks
- Add caching for repeated validations
- **Benefit**: Better performance for large-scale deployments

## 📚 Documentation and API Improvements

### 7. API Documentation Generation
**Task**: Generate comprehensive API documentation
- **Current**: Docstrings exist but could be more detailed
- **AI Task**:
- Enhance docstrings with examples
- Generate API reference documentation
- Create interactive API examples
- **Benefit**: Better developer experience

### 8. Rule Development Guide
**Task**: Create comprehensive rule development framework
- **Location**: `src/plan_lint/rules/`
- **AI Task**:
- Document rule development best practices
- Create rule testing framework
- Generate rule templates for common patterns
- **Benefit**: Easier extension by users

## 🏗️ Architecture Enhancements

### 9. Plugin Architecture Implementation
**Task**: Create proper plugin system for rules
- **Current**: Rules are loaded via simple import
- **AI Task**:
- Design plugin interface
- Implement plugin discovery and loading
- Add plugin configuration system
- **Benefit**: Better extensibility, third-party rule support

### 10. Async Validation Support
**Task**: Add asynchronous validation capabilities
- **Location**: Core validation functions
- **AI Task**:
- Refactor validation to support async/await
- Implement concurrent validation
- Add streaming validation for large plans
- **Benefit**: Better performance for web services

## 🔐 Security Enhancements

### 11. Security Rule Library
**Task**: Expand security-focused validation rules
- **Current**: Basic SQL write and secret detection
- **AI Task**:
- Implement OWASP-based security rules
- Add command injection detection
- Create path traversal detection
- Implement rate limiting detection
- **Benefit**: More comprehensive security coverage

### 12. Sensitive Data Detection Enhancement
**Task**: Improve secret/PII detection using ML
- **Location**: `src/plan_lint/core.py:112-149`
- **Current**: Simple regex matching
- **AI Task**:
- Implement ML-based sensitive data detection
- Add support for custom sensitive data patterns
- Create false positive reduction mechanisms
- **Benefit**: Better security with fewer false positives

## 🎯 Integration Features

### 13. GitHub Actions Integration
**Task**: Create native GitHub Actions support
- **AI Task**:
- Create GitHub Action wrapper
- Implement PR comment integration
- Add SARIF output format
- **Benefit**: Seamless CI/CD integration

### 14. VS Code Extension
**Task**: Develop VS Code extension for real-time validation
- **AI Task**:
- Create language server protocol implementation
- Add real-time validation
- Implement quick fixes for common issues
- **Benefit**: Better developer experience

## 📊 Monitoring and Analytics

### 15. Telemetry and Metrics
**Task**: Add opt-in telemetry for usage analytics
- **AI Task**:
- Implement privacy-preserving telemetry
- Create metrics dashboard
- Add performance monitoring
- **Benefit**: Data-driven improvements

## Recommended Implementation Order

1. **Phase 1 (Immediate)**: Tasks 1, 2, 5, 11
- Core functionality improvements
- Security enhancements
- Test coverage

2. **Phase 2 (Short-term)**: Tasks 3, 6, 9, 12
- Performance optimization
- Architecture improvements
- Advanced security features

3. **Phase 3 (Medium-term)**: Tasks 4, 7, 8, 13, 14
- Developer experience
- Integration features
- Documentation

4. **Phase 4 (Long-term)**: Tasks 10, 15
- Advanced features
- Analytics

Each task is designed to be self-contained and suitable for AI agent implementation with clear boundaries and testable outcomes.
98 changes: 98 additions & 0 deletions CODE_REVIEW_TODO.md
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# Code Review TODO List for Plan-Lint

## Summary
Plan-lint is a well-structured security-focused linter for LLM agent plans. The codebase is clean, follows good Python practices, and has a solid foundation. However, there are several areas where AI assistance could significantly improve the project.

## Critical Improvements Needed

### 🔴 High Priority (Security & Correctness)

1. **Fix Naive Cycle Detection** (`core.py:151-181`)
- Current implementation won't catch all dependency cycles
- Implement proper graph traversal algorithm
- Add comprehensive tests for complex cycle scenarios

2. **Enhance Bounds Checking** (`core.py:46-108`)
- Add support for nested parameter validation
- Handle array bounds and complex data structures
- Improve error messages with actual vs expected values

3. **Improve Secret Detection** (`core.py:112-149`)
- Current regex approach has high false positive rate
- Add entropy-based detection
- Support custom sensitive data patterns
- Implement allowlist for known safe patterns

### 🟡 Medium Priority (Performance & Usability)

4. **Optimize Validation Performance**
- Add benchmarking suite
- Implement parallel validation for independent checks
- Cache compiled regex patterns
- Profile and optimize hot paths

5. **Expand Test Coverage**
- Current tests are basic, need edge case coverage
- Add property-based testing with hypothesis
- Test error paths and exception handling
- Add integration tests for CLI

6. **Improve Rule System**
- Current rule loading is basic file import
- Need proper plugin architecture
- Add rule configuration and parameters
- Create rule testing framework

### 🟢 Low Priority (Nice to Have)

7. **Enhanced Documentation**
- API documentation needs examples
- Create rule development guide
- Add architecture documentation
- Include performance tuning guide

8. **Better Error Reporting**
- Add error context and suggestions
- Implement error grouping
- Create machine-readable error format
- Add fix suggestions

9. **Integration Features**
- GitHub Actions native support
- VS Code extension
- Web API service
- Framework integrations

## Technical Debt

1. **Type Annotations**: Several functions missing return type hints
2. **Error Handling**: Some try/except blocks too broad
3. **Code Duplication**: Similar validation logic repeated across rules
4. **Configuration**: Policy loading could be more flexible
5. **Logging**: Minimal logging for debugging

## Positive Aspects

✅ Clean code structure with good separation of concerns
✅ Uses modern Python features (type hints, dataclasses)
✅ Good use of Pydantic for data validation
✅ Thoughtful API design
✅ Security-first approach
✅ Extensible architecture

## Recommended Next Steps

1. **Immediate**: Fix cycle detection algorithm (critical bug)
2. **This Week**: Improve test coverage to 90%+
3. **This Month**: Implement performance optimizations
4. **This Quarter**: Build plugin architecture and integrations

## Metrics to Track

- Test coverage: Current ~60% → Target 90%
- Performance: Validate 1000 plans/second
- Rules: Expand from 2 to 10+ built-in rules
- Integrations: Add 3+ framework integrations
- Documentation: 100% API coverage

The codebase is in good shape overall, but needs these improvements to be production-ready for enterprise use.
24 changes: 24 additions & 0 deletions claude_output.log
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## Summary

I've completed a comprehensive code review of the plan-lint project and created two detailed documents:

### 1. **AI_IMPROVEMENT_TASKS.md** - 15 specific tasks perfect for AI agent assistance:
- Enhanced error detection with nested parameter support
- Graph-based cycle detection to replace naive implementation
- ML-based dynamic risk scoring
- Comprehensive test generation
- Plugin architecture implementation
- Security rule library expansion

### 2. **CODE_REVIEW_TODO.md** - Prioritized improvement plan:
- **Critical**: Fix naive cycle detection algorithm (current bug)
- **High Priority**: Enhance bounds checking and secret detection
- **Medium Priority**: Performance optimization and test coverage
- **Nice to Have**: Documentation and integration features

### Key Findings:
✅ **Strengths**: Clean architecture, good use of type hints, security-focused design
❌ **Issues**: Naive cycle detection, limited test coverage (~60%), basic rule system
🎯 **Target**: 90%+ test coverage, 1000 plans/second performance, enterprise-ready

The codebase is well-structured but needs these improvements to be production-ready for enterprise use. Each task is designed to be self-contained and suitable for AI agent implementation.
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/home/user/run-agent.sh: line 298: github-mcp-server: command not found
5 changes: 5 additions & 0 deletions redis_listener.log
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INFO:__main__:🚀 Starting Redis Message Listener
INFO:__main__:✅ Connected to Redis at redis://host.docker.internal:6379
INFO:__main__:📡 Subscribed to topics: agent_status_updates
INFO:__main__:🎧 Message listener ready for agent 9959c9be-18d5-4909-a957-4877acbb3ae6
INFO:__main__:🎧 Starting message listener for agent 9959c9be-18d5-4909-a957-4877acbb3ae6
81 changes: 81 additions & 0 deletions redis_mcp_server.log
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INFO:__main__:✅ Connected to Redis at redis://host.docker.internal:6379
INFO:__main__:🚀 Starting Redis Pub/Sub MCP Server on 0.0.0.0:8088
INFO:__main__:📡 Agent ID: 9959c9be-18d5-4909-a957-4877acbb3ae6
INFO:__main__:📦 Project ID:
INFO: Started server process [90]
INFO: Waiting for application startup.
INFO: Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8088 (Press CTRL+C to quit)
INFO: 127.0.0.1:57590 - "GET /health HTTP/1.1" 200 OK
INFO: 127.0.0.1:57604 - "POST /mcp HTTP/1.1" 500 Internal Server Error
ERROR: Exception in ASGI application
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/uvicorn/protocols/http/h11_impl.py", line 403, in run_asgi
result = await app( # type: ignore[func-returns-value]
File "/usr/local/lib/python3.10/dist-packages/uvicorn/middleware/proxy_headers.py", line 60, in __call__
return await self.app(scope, receive, send)
File "/usr/local/lib/python3.10/dist-packages/starlette/applications.py", line 113, in __call__
await self.middleware_stack(scope, receive, send)
File "/usr/local/lib/python3.10/dist-packages/starlette/middleware/errors.py", line 186, in __call__
raise exc
File "/usr/local/lib/python3.10/dist-packages/starlette/middleware/errors.py", line 164, in __call__
await self.app(scope, receive, _send)
File "/usr/local/lib/python3.10/dist-packages/starlette/middleware/exceptions.py", line 63, in __call__
await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)
File "/usr/local/lib/python3.10/dist-packages/starlette/_exception_handler.py", line 53, in wrapped_app
raise exc
File "/usr/local/lib/python3.10/dist-packages/starlette/_exception_handler.py", line 42, in wrapped_app
await app(scope, receive, sender)
File "/usr/local/lib/python3.10/dist-packages/starlette/routing.py", line 716, in __call__
await self.middleware_stack(scope, receive, send)
File "/usr/local/lib/python3.10/dist-packages/starlette/routing.py", line 736, in app
await route.handle(scope, receive, send)
File "/usr/local/lib/python3.10/dist-packages/starlette/routing.py", line 290, in handle
await self.app(scope, receive, send)
File "/usr/local/lib/python3.10/dist-packages/starlette/routing.py", line 78, in app
await wrap_app_handling_exceptions(app, request)(scope, receive, send)
File "/usr/local/lib/python3.10/dist-packages/starlette/_exception_handler.py", line 53, in wrapped_app
raise exc
File "/usr/local/lib/python3.10/dist-packages/starlette/_exception_handler.py", line 42, in wrapped_app
await app(scope, receive, sender)
File "/usr/local/lib/python3.10/dist-packages/starlette/routing.py", line 75, in app
response = await f(request)
File "/home/user/mcp/redis_pubsub_mcp_server.py", line 383, in handle_mcp
return await session_manager.handle_request(request)
TypeError: StreamableHTTPSessionManager.handle_request() missing 2 required positional arguments: 'receive' and 'send'
INFO: 127.0.0.1:32946 - "POST /mcp HTTP/1.1" 500 Internal Server Error
ERROR: Exception in ASGI application
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/uvicorn/protocols/http/h11_impl.py", line 403, in run_asgi
result = await app( # type: ignore[func-returns-value]
File "/usr/local/lib/python3.10/dist-packages/uvicorn/middleware/proxy_headers.py", line 60, in __call__
return await self.app(scope, receive, send)
File "/usr/local/lib/python3.10/dist-packages/starlette/applications.py", line 113, in __call__
await self.middleware_stack(scope, receive, send)
File "/usr/local/lib/python3.10/dist-packages/starlette/middleware/errors.py", line 186, in __call__
raise exc
File "/usr/local/lib/python3.10/dist-packages/starlette/middleware/errors.py", line 164, in __call__
await self.app(scope, receive, _send)
File "/usr/local/lib/python3.10/dist-packages/starlette/middleware/exceptions.py", line 63, in __call__
await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)
File "/usr/local/lib/python3.10/dist-packages/starlette/_exception_handler.py", line 53, in wrapped_app
raise exc
File "/usr/local/lib/python3.10/dist-packages/starlette/_exception_handler.py", line 42, in wrapped_app
await app(scope, receive, sender)
File "/usr/local/lib/python3.10/dist-packages/starlette/routing.py", line 716, in __call__
await self.middleware_stack(scope, receive, send)
File "/usr/local/lib/python3.10/dist-packages/starlette/routing.py", line 736, in app
await route.handle(scope, receive, send)
File "/usr/local/lib/python3.10/dist-packages/starlette/routing.py", line 290, in handle
await self.app(scope, receive, send)
File "/usr/local/lib/python3.10/dist-packages/starlette/routing.py", line 78, in app
await wrap_app_handling_exceptions(app, request)(scope, receive, send)
File "/usr/local/lib/python3.10/dist-packages/starlette/_exception_handler.py", line 53, in wrapped_app
raise exc
File "/usr/local/lib/python3.10/dist-packages/starlette/_exception_handler.py", line 42, in wrapped_app
await app(scope, receive, sender)
File "/usr/local/lib/python3.10/dist-packages/starlette/routing.py", line 75, in app
response = await f(request)
File "/home/user/mcp/redis_pubsub_mcp_server.py", line 383, in handle_mcp
return await session_manager.handle_request(request)
TypeError: StreamableHTTPSessionManager.handle_request() missing 2 required positional arguments: 'receive' and 'send'
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