Document Generation
Automatically generate comprehensive documentation from your codebase using AI-powered analysis of modules, dependencies, and semantic information.
Overview
Document Generation analyzes your codebase and automatically creates detailed documentation for each module. The system combines code analysis with AI to produce professional, structured documentation that follows best practices.
Privacy & Security: Your code is temporarily checked out for analysis, processed, and then immediately deleted. We only store the generated documentation, never your source code.
Automatic Updates: Documentation is automatically updated when you push changes to your repository, keeping your docs in sync with your code.
How Document Generation Works
🔍 Code Analysis
Analyzes your codebase to extract modules, dependencies, and semantic information
🧠 AI Processing
Uses AI to understand code structure and generate human-readable documentation
📚 Structured Output
Generates documentation following consistent structure and formatting standards
🔄 Auto-Updates
Automatically updates documentation when you push changes to your repository
Document Generation Process
Repository Analysis
Module Extraction
Semantic Analysis
AI Documentation Generation
Document Storage
Supported Languages & Frameworks
📘TypeScript
- •Full TypeScript support with type information
- •Interface and type definitions
- •Class inheritance and implementations
- •Generic types and constraints
- •Namespace and module declarations
⚡JavaScript
- •ES6+ module analysis
- •Function and class extraction
- •Import/export tracking
- •CommonJS and ES modules
- •Async/await and Promise handling
⚛️React & JSX
- •React component documentation
- •Props and state analysis
- •Hook usage and patterns
- •JSX element extraction
- •Component lifecycle methods
📁Project Types
- •Node.js applications and APIs
- •Frontend applications (React, Next.js)
- •Libraries and SDKs
- •CLI tools and utilities
- •Monorepos and multi-package projects
Generated Documentation Structure
📋Standard Documentation Sections
Overview
Module purpose, responsibilities, and system context
Public Exports
All exported functions, classes, types, and constants with signatures
Usage Examples
Code examples showing how to use the module
Dependencies
Internal and external module dependencies with links
Limitations
Known limitations, edge cases, and important considerations
Source Files
Links to GitHub source files and relevant code
Analysis Features
🔬Complete Analysis
- •Full repository analysis
- •All modules and dependencies
- •Comprehensive semantic extraction
- •Role analysis and categorization
- •Best for initial documentation generation
⚡Smart Updates
- •Automatic change detection
- •Efficient processing for updates
- •Maintains existing documentation
- •Updates affected modules
- •Best for ongoing maintenance
Module Analysis Features
📊 Dependency Graph
Maps internal and external dependencies between modules
🎯 Role Analysis
Identifies module roles (utility, service, component, etc.) with confidence scores
🔍 Semantic Extraction
Extracts detailed information about functions, classes, and types
📈 Module Insights
Provides insights into module structure, dependencies, and relationships
How to Generate Documentation
🚀Start Document Generation
Configure GitHub Integration
Start Analysis
Monitor Progress
Review Generated Docs
Automatic Updates
Documentation Quality Standards
🏗️Structure & Organization
- •Clear hierarchical structure with consistent headings
- •Logical flow from overview to implementation details
- •Modular sections that can be easily navigated
- •Consistent formatting across all documents
✨Clarity & Readability
- •Simple, precise language without ambiguity
- •Clear definitions of key terms and concepts
- •Proper code formatting and syntax highlighting
- •Accessible to developers of different skill levels
🎯Context & Completeness
- •Sufficient background for new readers
- •Links to related modules and external resources
- •Practical usage examples and patterns
- •Coverage of edge cases and limitations
🤖AI Readiness
- •Structured format for automated parsing
- •Consistent section markers and formatting
- •Machine-readable cross-references
- •Optimized for LLM consumption and processing
Integration with GitHub
🔑Repository Access
- •GitHub Personal Access Token required
- •Read access to repository contents
- •Support for private repositories
- •Branch-specific analysis
- •Code is temporarily cloned and deleted after analysis
🔗Source Links
- •Direct links to GitHub source files
- •Line-specific references where relevant
- •Branch-aware URL generation
- •Commit hash references for stability
Performance & Limitations
⚡Performance Considerations
- •Large repositories may take 10-30 minutes to analyze
- •Updates are much faster than initial analysis
- •Memory usage scales with repository size
- •Network speed affects GitHub cloning time
⚠️Current Limitations
- •Currently supports TypeScript and JavaScript only
- •Limited support for complex build systems
- •May not capture all dynamic imports
- •Requires clear module structure for best results
Best Practices
📁Repository Setup
- •Use clear module structure and naming conventions
- •Include JSDoc comments for better AI understanding
- •Organize code in logical directories and files
- •Use TypeScript for better type information
🔄Documentation Maintenance
- •Documentation updates automatically on repository pushes
- •Review and customize generated documentation
- •Keep repository structure consistent
- •Update documentation when APIs change
Troubleshooting
❌Common Issues
- •Analysis fails - check GitHub token permissions
- •Missing modules - verify repository structure
- •Poor documentation quality - add JSDoc comments
- •Slow analysis - consider incremental updates
⚡Performance Tips
- •Use .gitignore to exclude unnecessary files
- •Break large repositories into smaller modules
- •Use smart updates for regular maintenance
- •Monitor analysis progress and adjust expectations
Related Guides
📄 Full Document Analysis
Comprehensive analysis of entire documents
🔍 Block Analysis
Targeted feedback for specific sections
💬 AI Chat
Conversational AI assistance for your documents
🔗 Import & Export
Export documents to various formats
Document Generation Tip
For best results, ensure your codebase has clear module structure and includes JSDoc comments. The AI uses this information to generate more accurate and comprehensive documentation. Start with a complete analysis for new repositories, then use smart updates for ongoing maintenance.