Internal AI Debugging Assistant

I’m looking to build an AI-powered assistant that can connect directly to our private GitHub / GitLab repository, index the entire codebase, and let my team ask natural-language questions whenever they suspect a bug. The assistant’s primary job is to pinpoint the most likely cause of an error, reference the exact files or lines involved, and explain why those areas are relevant. You may choose whichever stack makes the most sense—vector databases, embeddings, GPT-4, or an open-source LLM—so long as the final result can be self-hosted behind our firewall and respect repository permissions. A lightweight chat interface (web or VS Code extension) is fine; usability and accuracy matter more than pixel-perfect design. Deliverables • Set-up script or Dockerfile that ingests the repository and keeps it in sync • Query interface that returns code snippets with line numbers and reasoning steps • Documentation covering installation, environment variables, and how to retrain or update the index Acceptance criteria • Questions about recent errors consistently surface the correct file or function on the first or second response • Responses never expose files outside the authenticated user’s scope • All components run locally without sending source code to third-party servers unless explicitly configured otherwise If you have implemented something similar—or have strong ideas on repository parsing, embeddings, and prompt engineering—let’s talk and get this running for our team.