DebugLens — AI Code Validator powered by IBM Bob

Developers today rely on AI tools like ChatGPT and GitHub Copilot to generate code faster. But AI has a critical blind spot — it doesn't know your codebase. It generates code using wrong libraries, violating naming conventions, skipping error handling, ignoring existing utilities, and introducing performance bottlenecks. The result is code that looks correct but breaks consistency, creates technical debt, and wastes hours in debugging. DebugLens solves this by extending IBM Bob with a custom MCP (Model Context Protocol) server that exposes two powerful tools directly inside Bob: validate_ai_code — Scans AI-generated code against your real repository. Reads every file, extracts patterns, and detects 6 violation types: library mismatches, naming convention violations, missing error handling, duplicate utility reimplementations, and performance anti-patterns including nested loops and synchronous blocking operations. auto_fix_code — Detects all violations and automatically rewrites the code to match your repository. Wrong libraries replaced. Naming converted. Error handling injected. Existing utilities used. All in one command. DebugLens also integrates with GitHub Actions — every pull request is automatically validated, high severity issues block the merge, and findings are posted as PR comments. What makes DebugLens unique is deep IBM Bob integration. Bob is not just used to build DebugLens — Bob is the engine that powers it. Bob calls the MCP tools, reads validation results, explains issues in plain English, and applies fixes. The entire workflow lives natively inside Bob. DebugLens catches what AI misses — before it ships.