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CodeAtlas

AI-powered codebase navigation and semantic search platform for understanding complex repositories.

Overview

CodeAtlas is an AI-powered developer platform designed to help users explore, understand, and interact with large codebases more efficiently. The platform uses semantic search and intelligent repository analysis to simplify navigation across complex software projects.

Instead of relying on traditional keyword-based search, CodeAtlas enables developers to query repositories using natural language and receive AI-generated insights, architecture explanations, dependency mappings, and contextual code understanding.

Features

Semantic Code Search

  • Natural language repository search
  • Intelligent file discovery
  • Context-aware code understanding
  • Smart result ranking

AI Repository Assistant

  • AI-powered codebase explanations
  • Architecture understanding
  • Module summaries
  • Dependency analysis

Smart File Explorer

  • AI-generated file summaries
  • Semantic file categorization
  • Related module suggestions
  • Important component highlighting

Project Structure

Core Components

  • Semantic search engine
  • Repository analysis system
  • AI assistant module
  • Architecture visualization engine
  • Dependency mapping system

Functional Modules

  • Repository parser
  • Embedding generation
  • Vector search integration
  • AI response generation
  • Graph visualization handling

Tech Stack

Frontend

  • Next.js
  • React
  • Tailwind CSS

Backend

  • FastAPI / Node.js

AI & Search

  • OpenAI / Gemini API
  • Semantic Search
  • Embeddings
  • Vector Database

Code Processing

  • Tree-sitter
  • Repository Parsing
  • Dependency Mapping

Project Goal

The goal of CodeAtlas is to improve developer productivity by enabling intelligent codebase understanding through AI-powered semantic search, repository analysis, and architecture visualization.

The platform aims to simplify navigation and comprehension of complex software systems for developers working on large-scale projects.

Future Scope

  • Multi-repository analysis
  • AI bug tracing
  • Smart refactoring suggestions
  • Auto-generated documentation
  • IDE integration
  • Team collaboration insights

About the Developer

Developed by Hrishikesh Kunde, a 2nd-year Computer Science student at NMIMS Mumbai (MPSTME).

Contact

License

This project is developed for educational and research purposes.