RepoMedic.ai — Your AI Debugging Teammate

RepoMedic.ai transforms how developers handle bugs. Instead of spending hours manually hunting through files, developers simply paste any public GitHub repository URL, describe their bug in plain English, and RepoMedic takes care of the rest — entirely automatically. At the core of RepoMedic is IBM BOB, which acts as the intelligent context engine. IBM BOB fetches the complete file tree of the repository, assigns relevance scores to every file based on the bug description (boosting controllers, routes, and middleware while penalizing test files and markdown), and passes only the highest-scoring files to Groq's llama3-70b model. This focused signal results in faster, more accurate root cause diagnosis. The platform offers three powerful features: 1. Bug Analyzer: Generates a full Bug Analysis Report with a confidence score, root cause identification, affected file list, step-by-step fix instructions with production-ready code, and a one-click Pull Request creation button. 2. Repository Summary: IBM BOB scans the entire codebase and generates an architecture overview, tech stack detection, complexity score, and file structure map — letting any developer understand a new codebase in 30 seconds. 3. Chat with Repository: Users can ask any question about the codebase in plain English. BOB identifies the most relevant files in real time and responds with file-level confidence scores, making it a true context-aware code assistant. The GitHub API integration is the most technically ambitious feature — RepoMedic forks the repository, creates a timestamped branch, commits the AI-generated fix, and opens a real Pull Request on GitHub automatically, without requiring write access to the original repo. RepoMedic is fully deployed and live at repomedic-ai.vercel.app. The frontend runs on Next.js (Vercel) and the backend on Express.js (Render.com). Real Pull Requests have already been created and merged during testing.