About Code Architecture Mapper

A powerful tool designed to help developers understand, analyze, and visualize the architecture of their codebases using artificial intelligence.

About This Project

This is an educational demo showcasing how AI can be used to analyze and understand code architecture. Whether you're exploring a new codebase, documenting existing projects, or learning about software architecture patterns, this tool provides automated insights into code structure and dependencies.

This application combines AI-powered analysis with interactive visualizations to make code exploration more accessible and insightful.

Key Features

AI-Powered Analysis

Uses advanced AI models to understand code structure and generate meaningful insights about your repository architecture.

Dependency Mapping

Visualizes complex dependency relationships between files and modules with interactive Mermaid diagrams.

Comprehensive Reports

Generates detailed documentation and reports that can be downloaded and shared with your team.

Fast Processing

Efficiently analyzes repositories with intelligent caching and optimized processing pipelines.

Multi-Language Support

Supports Python, TypeScript, and JavaScript codebases with language-specific analysis capabilities.

Secure & Private

Analyzes public repositories safely without storing your code or compromising your data.

Project Highlights

3
Languages Supported
3+
Demo Examples
8+
Tech Stack Components
<2min
Average Analysis Time

How It Works

1

Input Repository

Provide a GitHub repository URL or try demo examples

2

AI Analysis

AI processes the code structure and relationships

3

Get Insights

View comprehensive reports and interactive diagrams

Built With Modern Technology

Frontend
Next.js, React, Tailwind CSS
Backend
Python, Flask, SQLite
AI/ML
Google Gemini, LangChain
Visualization
Mermaid.js, D3.js