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# AI DevKit

> AI DevKit is an open-source CLI toolkit that brings structure and consistency to AI-assisted software development. It works alongside AI coding assistants like Cursor, Claude Code, GitHub Copilot, Gemini CLI, OpenAI Codex, and others.

AI DevKit solves common problems with AI-assisted development: context loss between sessions, ad hoc workflows, repeated instructions, and siloed knowledge. It provides structured workflows, long-term memory, a community-driven skills system, and multi-agent support.

## Core Features

- **Structured Development Workflows**: Phase-based guidance through requirements, design, planning, implementation, testing, and code review
- **Long-Term Memory**: 100% local SQLite-based knowledge storage for coding standards, patterns, and decisions across sessions
- **Skills System**: Community-driven plugins that teach AI new capabilities and domain-specific patterns
- **Multi-Agent Support**: Works with 11+ AI coding environments including Cursor, Claude Code, GitHub Copilot, Gemini CLI, OpenAI Codex, and more

## Quick Start

Install via npm:

```
npm install -g ai-devkit
```

Initialize in your project:

```
ai-devkit init
```

## Key Skills

- `dev-lifecycle` - Start a new feature, validate requirements and design, execute plans, and run pre-commit reviews
- `tdd` - Add test coverage with a test-first workflow
- `structured-debug` - Debug systematically with reproduction, hypotheses, fixes, and verification
- `memory` - Store important guidelines and patterns in memory
- `document-code` - Analyze and document existing code

## Documentation

- [What is AI DevKit?](https://ai-devkit.com/docs/0-what-is-ai-devkit): Overview, problem statement, and how AI DevKit works
- [Getting Started](https://ai-devkit.com/docs/1-getting-started): Installation, project initialization, and first steps
- [Supported AI Agents](https://ai-devkit.com/docs/2-supported-agents): Complete reference for all 11+ supported AI coding environments
- [Development with AI DevKit](https://ai-devkit.com/docs/3-development-with-ai-devkit): Full development lifecycle workflow
- [Debugging with AI DevKit](https://ai-devkit.com/docs/4-debugging-with-ai-devkit): Structured debugging methodology
- [Understanding Existing Code](https://ai-devkit.com/docs/5-understand-existing-code-with-ai-devkit): Code analysis and knowledge capture
- [Memory](https://ai-devkit.com/docs/6-memory): Local memory system for persistent knowledge
- [Skills](https://ai-devkit.com/docs/7-skills): Community-driven skill management system
- [Agent Management](https://ai-devkit.com/docs/8-agent-management): Experimental agent detection and switching

## Other Pages

- [Home](https://ai-devkit.com): Landing page with features overview and quick start
- [Vision](https://ai-devkit.com/vision): Project philosophy and alignment with "The New Engineering Workflow"
- [Roadmap](https://ai-devkit.com/roadmap): Development roadmap and feature status
- [Skills Registry](https://ai-devkit.com/skills): Browse and search available skills
- [FAQ](https://ai-devkit.com/faq): Frequently asked questions and getting started guides

## Project Links

- GitHub: https://github.com/Codeaholicguy/ai-devkit
- npm: https://www.npmjs.com/package/ai-devkit
- Website: https://ai-devkit.com