Litho (deepwiki-rs) - AI-Powered Documentation Generation

Quick Start Guide

Use Litho when you need to:

• Analyze entire codebases and generate architecture documentation
• Create C4 model diagrams (Context, Container, Component, Code)
• Understand complex software systems and module relationships
• Generate comprehensive technical specifications
• Document architecture evolution and design decisions

Core Workflow:

# Basic codebase analysis
deepwiki-rs -p ./src

# Complete C4 documentation with dual models
deepwiki-rs -p ./project --model-efficient gpt5-mini --model-powerful gpt5

Decision Tree

📋 Comprehensive Documentation → Use "Full Litho Workflow"

Generate complete C4 model documentation with architecture diagrams and technical specs.

⚡ Quick Code Analysis → Use "Basic Analysis Mode"

Fast code insights without full documentation pipeline.

🏗️ Architecture Understanding → Use "Advanced C4 Generation"

Deep architectural analysis with detailed component relationships.

🔄 CI/CD Integration → Use "Automated Pipeline"

Continuous documentation generation for development workflows.

Key Capabilities

Multi-Language Support

• Rust, Python, Java, Go, C#, JavaScript/TypeScript
• Any language with recognizable code structure

Documentation Structure

project-docs/
├── 1. Project Overview
├── 2. Architecture Overview  
├── 3. Workflow Overview
└── 4. Deep Dive/
    ├── Topic1.md
    └── Topic2.md

Essential Parameters

• -p, --path: Source directory
• -o, --output: Output location (default: ./litho.docs)
• --model-efficient: Fast model for quick analysis
• --model-powerful: Capable model for deep analysis
• --skip-preprocessing: Skip initial scanning phase
• --skip-research: Skip AI research phase

Advanced Resources

For detailed configuration, troubleshooting, and advanced patterns:

• See configuration.md for comprehensive setup guides
• See examples.md for real-world usage patterns
• See integration.md for CI/CD and automation
• See troubleshooting.md for common issues

Security & Performance Notes

• Install only from trusted sources
• Use --model-efficient for large codebases
• Batch processing helps avoid API rate limits
• Memory-constrained environments: use --skip-preprocessing

Installation

# Install from crates.io (recommended)
cargo install deepwiki-rs

# Build from source
git clone https://github.com/sopaco/deepwiki-rs.git && cd deepwiki-rs && cargo build --release