GitForMe is an AI-powered platform designed to help developers quickly understand and navigate complex GitHub repositories. It addresses the common challenge of onboarding onto new open-source projects by providing an interactive dashboard and natural language querying capabilities, enabling faster contributions. The target audience includes open-source contributors, developers new to a codebase, and anyone needing to quickly grasp a repository's structure and activity.

How It Works

GitForMe employs a microservice architecture. The frontend is built with React, Vite, and Framer Motion. The backend, a Node.js/Express server, handles GitHub API interactions and user authentication. An LLM server, written in Python/Flask, utilizes sentence-transformers for code embeddings, FAISS for efficient retrieval, and Azure OpenAI for natural language processing, providing grounded answers to code-related questions. This separation of concerns promotes scalability and maintainability.

Quick Start & Requirements

• Installation: Clone the repository, set up backend and LLM servers (installing Node.js v18+, Python 3.8+, npm, pip, and obtaining an Azure OpenAI API Key), and start the frontend development server.
• Prerequisites: Node.js (v18+), npm, Python (v3.8+), pip, Git, Azure OpenAI API Key.
• Setup Time: Estimated setup time is not explicitly stated but involves multiple server configurations.
• Links: GitForMe Explainer Video

Highlighted Details

• AI-Powered Chat (GitBro) for natural language code querying.
• Interactive dashboard with code hotspots, dependency analysis, and contribution insights.
• "Super Context Builder" to create focused contexts for external LLMs.
• One-click cloning and opening in VS Code.

Maintenance & Community

• The project is open for contributions, with suggested areas like UI/UX improvements, adding file parsers, enhancing error handling, and writing tests.
• Contact: Herin (@herin7).

Licensing & Compatibility

• MIT License. This license is permissive and generally compatible with commercial use and closed-source projects.

Limitations & Caveats

• Requires an Azure OpenAI API key, which may be a barrier for users without access or preference for other LLM providers. The README does not detail fallback options for different LLM services.