AI Repo Interpreter

IBM Bob Repo Interpreter is an AI-powered developer onboarding and repository understanding tool designed to help developers quickly navigate unfamiliar codebases. Instead of manually searching through folders, configuration files, and documentation, users can upload a repository as a ZIP file and receive an AI overview of the project. The application analyses the repository structure, detects the project’s tech stack, identifies important files such as README files, entry points, APIs, configuration files, and dependencies needed to run the application. The application also generates onboarding insights to help users understand where to start reading the codebase. It also includes an AI-powered chat interface hosted using IBM watsonx, allowing users to ask natural-language questions about the uploaded repository. What makes the project unique is that the AI responses uses files in the uploaded codebase. The system retrieves relevant repository files and uses them as context when generating responses, while also showing which files were referenced. This gives more accurate, practical, and traceable explanations compared to generic AI coding assistants. IBM Bob Repo Interpreter is designed for developers joining new projects, hackathon teams collaborating under time pressure, open-source contributors exploring unfamiliar repositories, and students learning from existing software projects. The goal is to reduce onboarding time, improve codebase understanding, and help developers spend less time searching through files and more time building.