Abhay Dutta@AbhayDutta

GitKit is an AI-powered developer tool that helps engineering teams stay ahead of bugs before they happen. Instead of reacting to failures after the fact, GitKit proactively analyzes your entire GitHub repository and predicts which files carry the highest risk of breaking in the future. The core idea is simple but powerful: bugs don't appear randomly. Files that are frequently modified, lack test coverage, or sit at critical points in the codebase are far more likely to fail. GitKit surfaces exactly these files, ranked by a risk score from 0 to 100, so developers know where to focus their attention. IBM Bob was used as the primary development partner throughout the entire build. Bob's full repository context understanding helped generate the risk scoring logic, API routes, database schema, and UI components with remarkable speed and accuracy. Bob didn't just autocomplete code — it reasoned about the architecture, suggested improvements, and helped navigate complex Next.js app router patterns. The application is built with Next.js 14 using the app router, styled with Tailwind CSS, and stores all analysis results in Neon serverless PostgreSQL. Users simply paste a GitHub repository URL, and within seconds receive a beautiful heatmap dashboard showing every file color-coded by risk — red for high risk, yellow for medium, and green for safe. Each file card explains in plain English why it received its score — whether due to high commit churn, missing tests, or its position in a critical part of the codebase. This makes GitKit not just a detection tool but an educational one that helps developers write better, more resilient code over time.

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