GENIE (GitHub Enhanced Neural Intelligence Explorer)

GENIE (GitHub Enhanced Neural Intelligence Explorer) is your AI-powered codebase mentor, offering smart onboarding, visual maps, PR reviews, and RAG-based Q&A to supercharge developer productivity.

Comment 2

Inspiration

We’ve all been there—starting at a massive codebase, feeling lost and unsure where to begin. As students, interns, and contributors, we were inspired to build GENIE to fix that. We wanted to create an AI-powered mentor that helps developers explore, understand, and contribute to any GitHub repository with confidence. GENIE was born out of our own frustrations and a desire to make onboarding and collaboration easier, faster, and more intelligent.

What it does

GENIE is a multi-agent AI system designed to assist developers in every stage of codebase interaction:

  • Interactive Mind-Map Explorer: Auto-generates visual, clickable maps of the code structure.
  • Codebase Tutor: Breaks down code into digestible modules with personalized learning paths.
  • RAG-Powered Search & Q&A: Natural language search across code, docs, and issues with cited answers.
  • AI-Assisted Pull Request Reviews: Summarizes, critiques, and suggests improvements for PRs.
  • Auto-Generated Architecture Diagrams: Generates UML/Mermaid visuals from code and PR diffs.
  • Skill-Based Matching: Recommends contribution points based on commit history and developer profile.
  • Multi-Turn Chat & Voice Agents: Conversational codebase navigation with memory and intent tracking.

How we built it

We combined several powerful tools and frameworks to bring GENIE to life:

  • Frontend: Built with NextJS, TailwindCSS, Shadcn and React bits for UI, animation and visual maps.
  • Backend: Node.js, Express, uploadthing for user image upload, NeonDB + ORM Postgresql for user tracking, and Python for orchestrating agent workflows and static analysis.
  • LLMs & RAG: Integrated OpenAI/Gemini models via LangChain for contextual understanding and retrieval-based answers.
  • Visualization: Used D3.js and Mermaid.js to render mind maps, sequence diagrams, and architecture flows.
  • APIs & Integration: GitHub API, Slack, Jira, Notion for bi-directional sync and live interaction.

Challenges we ran into

  • Keeping multi-turn conversations context-aware without losing accuracy
  • Extracting meaningful structure from untyped or loosely-coupled codebases
  • Rate-limiting issues when accessing external APIs (GitHub, Slack)
  • Designing UX that’s both powerful and beginner-friendly
  • Coordinating multiple AI agents with distinct responsibilities in real time

Accomplishments that we're proud of

  • Building a working prototype that visualizes a repo as an interactive mind map
  • Creating voice-enabled chat agents that understand code context
  • Generating real-time PR summaries and architecture diagrams
  • Designing an onboarding experience that mimics a personalized tutor
  • Seamless integration with GitHub, Slack, and Jira for team collaboration

What we learned

  • The power of Retrieval-Augmented Generation (RAG) to enhance code comprehension
  • How to design modular AI agent systems for real-world workflows
  • The importance of UI/UX in developer tools
  • Advanced GitHub API usage and static code parsing
  • Best practices for LLM integration with privacy and performance in mind

What's next for GENIE (GitHub Enhanced Neural Intelligence Explorer)

  • Deploying GENIE as a VS Code extension and GitHub App
  • Adding real-time pair programming suggestions with AI copilots
  • Training fine-tuned LLMs on specific company codebases for internal use
  • Integrating compliance scanning and IP-safe private LLM deployment
  • Expanding to support GitLab, Bitbucket, and enterprise systems

GENIE is just getting started. We believe this agent-driven future will redefine how developers learn, collaborate, and ship better software.

Built With

Share this project:

Updates