Rebase

Repository file tree
Github authentication
File analytics
File analytics 2
Contributors dashboard

Inspiration

Having worked with large codebases before, we know how overwhelming it can be to navigate and understand them—both for humans and AI. We wanted to create a low-token representation of a codebase that preserves its structure while making it easier to explore. Our goal was to fundamentally change how developers view and interact with code by introducing a hierarchical, AI-powered interface that abstracts away complexity and allows users to drill down only when necessary. We were also inspired by tools like Windsurf, which we love, and wanted to bring that intuitive experience to AI-powered code analysis.

What it does

Rebase is an AI-powered code analytics tool that helps developers quickly understand large codebases. It features:

A tree-based file explorer for intuitive navigation
AI-generated summaries and complexity analysis for files
Code analytics, including lines of code, commits, and files changed
AI-powered visualizations and diagrams to represent code structure
GitHub integration for real-time insights

How we built it

We focused on designing an intuitive hierarchical interface that enables users to interact with code at different levels of abstraction. Our backend processes code efficiently, generating AI-powered summaries, complexity scores, and visualizations. We also worked on GitHub authentication and integrating real-time analytics into the dashboard.

Challenges we ran into

One of the biggest challenges was handling GitHub authentication—we were stuck on it for a while. Managing dependencies across files efficiently and optimizing AI context window usage were also tricky. Balancing performance with usability was another key challenge, especially when working with large codebases.

Accomplishments that we're proud of

Successfully built a working prototype of our file tree explorer
Implemented AI-generated summaries and complexity analysis
Designed a scalable approach for integrating GitHub repositories
Gained a deeper understanding of AI-driven software engineering

What we learned

Throughout this project, we learned a lot about:

AI-driven software engineering and code analysis
Managing dependencies across files in a structured way
Efficiently utilizing the context window for AI-powered insights
Overcoming authentication and API integration hurdles

What's next for Rebase

This is just the beginning. Moving forward, Rebase can expand to integrate with popular AI software engineering services, provide deeper insights into code structure, and support more advanced AI-driven refactoring suggestions. Our goal is to make navigating and understanding large codebases effortless for developers everywhere.