An intelligent, AI-powered code documentation generator that transforms your codebase into comprehensive, professional documentation with just a few clicks.
- ๐ฏ Project Overview
- ๐ Live Application
- ๐ ๏ธ Technology Stack
- โจ Features
- ๐ Setup & Installation
- ๐ Usage Guide
- ๐ API Documentation
- ๐ธ Screenshots
- ๐ฅ Team
- ๐ Future Improvements
- ๐ค Contributing
DocGen AI revolutionizes the way developers approach code documentation. By leveraging advanced AI language models, it automatically analyzes your codebase and generates:
- Comprehensive Documentation: Detailed explanations of code functionality and purpose
- Intelligent Inline Comments: Context-aware comments that enhance code readability
- Professional README Files: Well-structured project documentation following best practices
- Interactive Previews: Real-time markdown editing and preview capabilities
Many developers struggle with creating and maintaining up-to-date documentation, leading to poor code maintainability and reduced team productivity. DocGen AI solves this by automating the documentation process while maintaining high quality and relevance.
Our AI-powered platform analyzes code structure, understands context, and generates human-readable documentation that evolves with your codebase.
๐ Access DocGen
Try our live demo with sample repositories or upload your own projects to experience the power of AI-driven documentation generation.
| Technology | Purpose | Version |
|---|---|---|
| UI Framework | 18.2+ | |
| Type Safety | 4.9+ | |
| Styling | 3.3+ | |
| Build Tool | 4.4+ |
| Technology | Purpose | Version |
|---|---|---|
| API Framework | 0.104+ | |
| Backend Language | 3.8+ | |
| LLM Integration | Latest | |
| ASGI Server | 0.23+ | |
| Agentic Workflow | 0.4.9 |
| Tool | Purpose |
|---|---|
| Frontend Deployment | |
| Backend Deployment |
- Smart Code Analysis: Advanced parsing and understanding of code structure
- Context-Aware Generation: Documentation that understands your code's purpose and flow
- Multi-Language Support: Works with Python, JavaScript, TypeScript, Java, and more
- README Generation: Professional project documentation with proper formatting
- Inline Comments: Intelligent code commenting for better readability
- API Documentation: Automatic endpoint documentation for web APIs
- Code Summaries: High-level overviews of complex codebases
- GitHub Integration: Direct repository analysis via GitHub URLs
- File Upload: Support for ZIP archives and individual files
- Batch Processing: Handle multiple files and directories simultaneously
- Interactive 3D UI: Modern interface with engaging visual elements
- Real-time Preview: Live markdown editing and preview
- Customizable Output: Multiple documentation styles and formats
- Export Options: Download as ZIP, copy to clipboard, or direct integration
- Fast Processing: Optimized algorithms for quick documentation generation
- Scalable Architecture: Handles projects of any size
- Error Handling: Robust error management and user feedback
- Secure Processing: Safe handling of code with privacy protection
Ensure you have the following installed:
- Node.js (v16.0 or higher) - Download here
- Python (v3.8 or higher) - Download here
- Git - Download here
# Clone the repository
git clone https://github.com/yourusername/docgen-ai.git
# Navigate to backend directory
cd backend
# Create virtual environment
python -m venv venv
# Activate virtual environment
# On Windows:
venv\Scripts\activate
# On macOS/Linux:
source venv/bin/activate
# Install dependencies
pip install -r requirements.txt# Navigate to frontend directory
cd frontend/docGen
# Install dependencies
npm installCreate a .env file in the backend directory:
# Required Configuration
MISTRAL_API_KEY=your_mistral_api_key_here
GROQ_API_KEY=your_groq_api_key_here
#### 4. Start the Application
**Terminal 1 - Backend:**
```bash
cd backend
source venv/bin/activate # On Windows: venv\Scripts\activate
uvicorn app.main:app --reload --host 0.0.0.0 --port 8000Terminal 2 - Frontend:
cd frontend/docGen
npm start- Frontend: http://localhost:5173
- Backend API: http://localhost:8000
- API Documentation: http://localhost:8000/docs
-
๐ Input Source
- Paste a GitHub repository URL, or
- Upload a ZIP file containing your project
-
๐ค Generate Documentation
- Click "Generate Documentation"
- AI analyzes your code structure
- Documentation is generated automatically
-
๐ Review Results
- Use the interactive preview to review generated content
- Make edits directly in the markdown editor
- Real-time preview updates as you type
-
๐ฅ Export Documentation
- Download as ZIP file
- Copy markdown to clipboard
- Integrate directly into your repository
POST /generate
Content-Type: application/json
{
"repo_url": "https://github.com/username/repository",
"preferences": {
"style": "detailed",
"include_comments": true,
"output_format": "markdown"
}
}POST /api/v1/generate-and-download
Content-Type: application/json
{
"repo_url": "https://github.com/username/repository",
"preferences": {
"style": "standard",
"include_readme": true,
"add_inline_comments": true
}
}
Modern, interactive landing page with 3D elements and clear call-to-action
Intuitive interface for inputting repositories and configuring generation options
Real-time markdown preview with editing capabilities
|
Prathamesh Joshi Project Lead & Backend ๐ GitHub |
Prajwal Kulkarni Frontend & UI/UX ๐ GitHub |
- Architecture Design: Designed the overall system architecture and API structure
- Backend Development: Implemented FastAPI server and core business logic
- AI Integration: Integrated Mistral AI and developed prompt engineering strategies
- DevOps: Set up CI/CD pipelines and deployment infrastructure
- Code Review: Maintained code quality standards and conducted peer reviews
- Frontend Architecture: Built the React application with TypeScript and modern tooling
- UI/UX Design: Created the modern, interactive user interface with 3D elements
- Component Development: Developed reusable React components and hooks
- Responsive Design: Ensured mobile-first responsive design implementation
- User Experience: Conducted user testing and iterative design improvements
๐ค Intelligent Code Analysis & Automation
- Automatic Code Refactoring: Integrate AI-powered suggestions for code optimization, performance improvements, and best practice adherence
- Context-Aware Documentation: Generate comprehensive docstrings, README files, and technical documentation that understands project context and dependencies
- Smart Code Summaries: Provide intelligent summaries for entire codebases, functions, and complex logic flows
๐ Comprehensive Code Assessment
- Static Analysis Integration: Implement advanced static analysis tools to detect potential vulnerabilities, code smells, and security issues automatically
- Security-Focused Auditing: Add specialized security scanning with detailed vulnerability reports and remediation suggestions
- Code Quality Metrics: Generate comprehensive quality scores with actionable improvement recommendations
๐ Enhanced Code Understanding
- Interactive Architecture Diagrams: Generate dynamic system architecture diagrams, dependency trees, and data flow visualizations
- Function-Level Call Graphs: Create detailed function interaction maps and execution flow diagrams
- Embedded Interactive Elements: Add clickable, explorable diagrams directly within documentation and code reviews
๐ฅ Team-Centric Features
- Collaborative Documentation: Enable real-time collaborative editing with commenting and feedback systems for generated documentation
- GitHub Integration Enhancement: Deep integration with GitHub for automated PR comments, inline code annotations, and review workflows
- Team Knowledge Sharing: Create shared repositories of code insights, patterns, and organizational best practices
โ๏ธ Seamless Workflow Integration
- CI/CD Pipeline Integration: Automate documentation updates through GitHub Actions, GitLab CI, and other popular CI/CD platforms
- Auto-Generated Technical Documentation: Create comprehensive wikis, API documentation, and README files automatically from analyzed codebases
- Cross-Platform Integration: Support for multiple version control systems, project management tools, and development environments
๐ฎ Next-Generation Capabilities
- Multi-Language Code Analysis: Expand support beyond current languages to include emerging technologies and frameworks
- AI-Powered Code Suggestions: Provide intelligent code completion and optimization suggestions based on project patterns
- Custom Integration APIs: Allow teams to build custom workflows and integrations tailored to their specific development processes
- Performance Analytics: Track code quality improvements over time with detailed metrics and trend analysis
- Enterprise Security Features: Add advanced authentication, audit logging, and compliance reporting for enterprise environments
This roadmap focuses on transforming the platform from a documentation tool into a comprehensive AI-powered development assistant that enhances every aspect of the software development lifecycle.
We welcome contributions from developers of all skill levels! Here's how you can help make DocGen AI even better.
- ๐ Report Bugs: Found an issue? Let us know!
- โจ Suggest Features: Have ideas for improvements?
- ๐ Improve Documentation: Help make our docs clearer
- ๐งช Write Tests: Help us maintain quality
- ๐ป Submit Code: Fix bugs or implement features
- Fork the repository
- Create a feature branch:
git checkout -b feature/amazing-feature - Make your changes: Follow our coding standards
- Add tests: Ensure your changes are well-tested
- Commit changes:
git commit -m 'Add amazing feature' - Push to branch:
git push origin feature/amazing-feature - Open a Pull Request: Describe your changes
โญ Star us on GitHub if DocGen AI helps you create better documentation! โญ
Made with โค๏ธ by Team ByteBlazers