git:20260220.a9e025f to git:20260612.8c1bf9e

6 added, 10 removed. Audit A to A.

# 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, Windsurf, and more

## Quick Start

Install via npm:

```

npm install -g ai-devkit

```

Initialize in your project:

```

ai-devkit init

```

- ## Key Commands

+ ## Key Skills

- - `/new-requirement` - Start a new feature with structured documentation

- - `/review-requirements` - Validate requirements completeness

- - `/review-design` - Check architecture and generate mermaid diagrams

- - `/execute-plan` - Work through implementation step-by-step

- - `/code-review` - Pre-commit structured code reviews

- - `/writing-test` - Generate comprehensive tests targeting 100% coverage

- - `/debug` - Systematic 7-step debugging process

- - `/remember` - Store important guidelines and patterns in memory

- - `/capture-knowledge` - Analyze and document existing code

+ - `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