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README.md

Kode Development Documentation

This comprehensive documentation provides a complete understanding of the Kode codebase architecture, design patterns, and implementation details for developers.

Documentation Structure

Core Documentation

  • System Overview - Introduction to Kode's design philosophy, capabilities, and core principles
  • Architecture - High-level system architecture, component relationships, and data flow
  • Security Model - Comprehensive security architecture, permission system, and threat model
  • Configuration System - Multi-level configuration management and settings

System Components

  • Tool System - The heart of Kode's functionality, standardized tool interface and implementation
  • Model Management - Multi-provider AI model integration and intelligent switching
  • MCP Integration - Model Context Protocol for third-party tool integration
  • Custom Commands - Markdown-based extensible command system

Core Modules

  • Query Engine - AI conversation orchestration and streaming response handling
  • REPL Interface - Interactive terminal UI and user interaction management
  • Context System - Project context gathering and intelligent injection

Quick Navigation

For New Contributors

  1. Start with the System Overview to understand Kode's purpose and design
  2. Read the Architecture document to understand component relationships
  3. Review the Tool System to understand how capabilities are implemented
  4. Check the Security Model for permission and safety considerations

For Feature Development

For System Understanding

Key Concepts

Tool-First Architecture

Everything in Kode is implemented as a Tool with standardized interfaces for validation, permissions, and execution. This provides unlimited extensibility while maintaining consistency.

Multi-Level Configuration

Configuration cascades from environment variables → runtime flags → project config → global config → defaults, allowing flexible customization at any level.

Context-Aware AI

The system automatically gathers and injects relevant project context (git status, directory structure, documentation) to improve AI response quality.

Security Layers

Multiple security layers including permission system, command validation, path traversal prevention, and resource limits ensure safe operation.

Streaming Architecture

All long-running operations use async generators for real-time progress updates and cancellation support.

Development Workflow

Setting Up Development Environment

# Clone repository
git clone https://github.com/shareAI-lab/kode.git
cd kode

# Install dependencies
bun install

# Run in development mode
bun run dev

Running Tests

# Run all tests
bun test

# Run specific test file
bun test src/tools/BashTool.test.ts

# Run with coverage
bun test --coverage

Building for Production

# Build CLI
bun run build

# Run type checking
bun run typecheck

# Format code
bun run format

Architecture Principles

1. Modular Design

Each component has a single responsibility with clear interfaces and minimal dependencies.

2. Extensibility

New capabilities can be added through Tools, Commands, or MCP servers without modifying core code.

3. Security by Default

All operations require appropriate permissions with safe defaults and explicit user consent.

4. Performance Conscious

Streaming responses, lazy loading, and intelligent caching ensure responsive interaction.

5. User Experience First

Terminal-native design with keyboard shortcuts, syntax highlighting, and clear error messages.

Code Organization

src/
├── entrypoints/        # Application entry points
│   ├── cli.tsx        # Main CLI entry
│   └── mcp.ts         # MCP server entry
├── screens/           # Full-screen UI components
│   ├── REPL.tsx       # Main interactive interface
│   └── Doctor.tsx     # System diagnostics
├── components/        # Reusable UI components
│   ├── messages/      # Message rendering
│   └── permissions/   # Permission dialogs
├── tools/            # Tool implementations
│   ├── BashTool.ts   # Shell execution
│   └── FileEditTool.ts # File manipulation
├── services/         # External service integrations
│   ├── claude.ts     # Anthropic API
│   └── mcpClient.ts  # MCP client
├── utils/            # Utility functions
│   ├── config.ts     # Configuration management
│   └── model.ts      # Model management
└── Tool.ts           # Base Tool class

Contributing Guidelines

Code Style

  • TypeScript with relaxed strict mode
  • 2-space indentation
  • No semicolons (Prettier enforced)
  • Descriptive variable names
  • Comprehensive error handling

Testing Requirements

  • Unit tests for new Tools
  • Integration tests for command flows
  • Mock external dependencies
  • Test error conditions

Documentation Standards

  • Update relevant documentation
  • Include code examples
  • Document breaking changes
  • Add inline comments for complex logic

Pull Request Process

  1. Create feature branch
  2. Implement with tests
  3. Update documentation
  4. Run bun test and bun run typecheck
  5. Submit PR with clear description

Advanced Topics

Performance Optimization

  • Use streaming for large operations
  • Implement caching strategically
  • Lazy load heavy dependencies
  • Profile with Chrome DevTools

Debugging

  • Enable debug mode: kode --debug
  • Check logs: kode error
  • Use verbose output: kode --verbose
  • Inspect with Node debugger

Security Considerations

  • Always validate user input
  • Use path.resolve for file operations
  • Implement rate limiting
  • Log security events

Resources

Internal Documentation

External Resources

Support

For questions or issues:

This documentation represents the complete technical understanding of the Kode system as of the current version. It serves as the authoritative reference for developers working on or with the Kode codebase.