RepoLens AI

Inspiration

Developers often spend hours understanding unfamiliar GitHub repositories before they can contribute. We wanted to simplify this process by building an AI-powered tool that analyzes a repository and explains its structure, purpose, and code in an easy-to-understand way.

What it does

RepoLens AI helps developers quickly understand GitHub repositories.

Users simply provide a GitHub repository URL, and the application:

Generates an AI-powered project summary.
Explains the repository structure.
Identifies important files and folders.
Creates architecture and dependency visualizations.
Generates developer-friendly documentation.
Makes onboarding to new projects much faster.

How we built it

We built the frontend using React, Next.js, and Tailwind CSS for a responsive user interface.

The backend integrates the GitHub API to retrieve repository data and the Google Gemini API to generate intelligent summaries and explanations.

We used Supabase with PostgreSQL and Drizzle ORM to manage application data. React Flow was used to create interactive architecture visualizations, and the application is deployed on Vercel.

Challenges we ran into

Parsing repositories with different structures.
Managing AI token limits for large repositories.
Designing clear and useful architecture visualizations.
Optimizing response time while maintaining accurate AI-generated insights.

Accomplishments that we're proud of

Built a working AI-powered repository analysis platform.
Reduced the time required to understand unfamiliar codebases.
Integrated multiple APIs into one seamless workflow.
Created an intuitive and developer-friendly user experience.

What we learned

This project improved our understanding of AI integration, GitHub APIs, prompt engineering, database design, and full-stack application development. We also learned how to build scalable AI-powered developer tools.