AI & Developer Tools

Codebased

Turn Any GitHub Repository into a Smart RAG-Powered Chatbot

Codebased
View CodeTry It

Overview

Codebased is a developer-focused platform that transforms any GitHub repository into an AI-powered chatbot using Retrieval-Augmented Generation (RAG). Built with modern web technologies and powered by Gemini, it provides contextual, code-aware responses that help developers navigate, understand, and explore large codebases with ease. Whether you’re onboarding to a new repo or diving deep into legacy code, Codebased enhances productivity through intelligent conversation and instant insights.

Technologies Used

Next.js 15Tailwind CSSShadCN/UITypeScriptNeonDBPrismaGemini

Key Features

  • RAG-Powered AI Chatbot: Leverages Gemini to answer contextual questions from your repo.
  • GitHub Integration: Easily connect any public or private repository.
  • Commit Summaries: Understand what changed and why with AI-generated summaries.
  • File-Specific QA: Ask questions about specific files or modules.
  • Semantic Code Search: Find functions, classes, or logic using natural language.
  • Persistent Conversations: Chat history saves your previous questions and answers.
  • Developer-Friendly UI: Clean and minimal interface built with ShadCN and Tailwind.
  • Database-Backed: Uses NeonDB and Prisma for scalable data handling.

Key Highlights

  • 1Transforms codebases into RAG-powered chatbots using Gemini.
  • 2Helps developers onboard and debug faster by answering deep code-level questions.
  • 3Minimal yet powerful UI built with Next.js, Tailwind, and ShadCN.
  • 4NeonDB and Prisma ensure high performance and scalable data sync.

Challenges Overcome

  • Indexing large repositories efficiently for fast AI access.
  • Fine-tuning prompts for reliable and relevant RAG responses.
  • Ensuring accurate semantic understanding of varied coding styles.
  • Building real-time sync and update pipelines for changing repos.

Screenshots

Screenshot 1

Codebased Live Chatbot Demo

Development Metrics

time To Complete

1 weeks

commit Count

20

bugs Fixed

4

features Delivered

3

Learning Journey

New Technologies

Gemini for embeddings and RAG workflowsNeonDB for embeddings storage and retrieval

Time Investment

Research

4 hours

Implementation

40 hours

Future Development

  • Multi-Repo Chat Support: Chat across multiple repositories simultaneously.
  • Org-Wide Integration: Enable enterprise use across company-wide codebases.
  • VS Code Extension: Interact with Codebased directly inside your IDE.
  • Code Change Alerts: Notify users when important files or modules are updated.
  • Advanced Debugging Assistant: Use AI to help trace and debug issues in real-time.
  • Team Collaboration Mode: Share queries, bookmarks, and insights across teams.