Skip to content

[EPIC] Address All CodeQL Security and Code Quality Findings #785

@nickna

Description

@nickna

📋 Epic Overview

This epic tracks the resolution of all 30 open CodeQL findings identified in our codebase. These issues range from critical security vulnerabilities to code quality improvements.

📊 Summary Statistics

  • Total Open Issues: 30
  • Security Issues: 1 (High Severity)
  • Warnings: 23
  • Notes: 6
  • Errors: 1

🚨 CRITICAL UPDATE: Exception Handling Scale

Major Discovery: The catch-all exception handlers issue (#788) involves 881 instances, not the initially reported 4. This represents a massive architectural problem that could be masking hundreds of bugs across the entire system.

🎯 Objectives

  1. Eliminate all security vulnerabilities
  2. Fix critical code quality issues that could lead to runtime errors
  3. NEW: Address the massive exception handling problem systematically
  4. Improve overall code quality and maintainability
  5. Achieve a clean CodeQL scan

📝 Sub-Issues

🚨 Security (Critical Priority)

⚠️ Code Quality (HIGH PRIORITY - MASSIVE SCALE)

🔥 Exception Handling Batches (Execute in Order):

📌 TypeScript/JavaScript Issues (Medium Priority)

🔧 Code Improvements (Low Priority)

🚨 CRITICAL: Exception Handling Impact

The Scale of the Problem:

  • 881 catch-all exception handlers across the entire codebase
  • Potentially hiding hundreds of critical bugs
  • Making debugging nearly impossible
  • Could be masking security vulnerabilities
  • May be causing silent data corruption

Batched Approach Required:

Due to the massive scale, this work has been broken into 4 architectural batches:

  1. Controllers/API Layer - User-facing, highest priority
  2. Service Layer - Business logic, high priority
  3. Repository/Data Layer - Data integrity, medium priority
  4. Background Services - Async processing, medium priority

Why This is Now Epic-Level Priority:

  • System Reliability: 881 hidden failures could destabilize the entire platform
  • Security Risk: Exceptions may be masking authentication, authorization, or data access issues
  • Data Integrity: Database errors being swallowed could corrupt data
  • Debugging Crisis: Impossible to troubleshoot issues that are being hidden

📈 Success Criteria

  • All security vulnerabilities resolved
  • All 881 catch-all exception handlers properly addressed
  • Zero high-severity CodeQL findings
  • Warnings reduced by at least 80%
  • All sub-issues completed and verified
  • System observability dramatically improved

🔗 Resources

📅 Timeline - UPDATED FOR SCALE

  • Security Issues: Immediate (within 48 hours)
  • Exception Handling Batch 1 (Controllers): Sprint 1 - HIGHEST PRIORITY
  • Exception Handling Batch 2 (Services): Sprint 2 - HIGH PRIORITY
  • Exception Handling Batch 3 (Repository): Sprint 3 - MEDIUM PRIORITY
  • Exception Handling Batch 4 (Background): Sprint 4 - FINAL BATCH
  • Other Issues: Sprints 3-4 (parallel with batches 3-4)
  • Target Completion: 4 sprints (was 2, extended due to scale discovery)

⚠️ CRITICAL WARNINGS

System Stability Risk:

Fixing 881 exception handlers will initially destabilize the system as hundreds of previously hidden exceptions surface. Each batch deployment requires:

  • Extensive testing
  • Production monitoring
  • Immediate response team availability
  • Rollback procedures

Resource Requirements:

  • 4x the originally estimated effort
  • Multiple developers across different architectural layers
  • Extended QA and testing cycles
  • Production support team readiness

📊 Progress Tracking

Exception Handling Batches:

Other Issues:


🚨 UPDATED PRIORITY: This epic is now CRITICAL SYSTEM-WIDE ARCHITECTURE issue, not just a code quality cleanup. The 881 exception handlers represent a fundamental system reliability problem.

Metadata

Metadata

Assignees

No one assigned

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions