AI DevKit is a CLI toolkit for AI-assisted software development. It provides structured phase templates and environment setup for Cursor and Claude Code. It benefits developers and engineering teams by standardizing AI interactions with codebases, managing context, and executing development workflows.
git clone https://github.com/codeaholicguy/ai-devkit.git./packages/cli/README.md
Automate the setup of development environments for AI-assisted projects.
Generate structured documentation for project requirements and design phases.
Manage project state and transition through development phases seamlessly.
Integrate persistent memory for AI agents to retain architectural decisions.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/codeaholicguy/ai-devkitCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
I'm using AI DevKit to build a [PROJECT_TYPE] for [COMPANY]. Here's my current setup: [DESCRIBE_SETUP]. What are the next steps for [SPECIFIC_TASK]?
# AI DevKit Project Plan for E-Commerce Platform ## Current Setup - **Project Type**: E-commerce platform - **Current Progress**: Database schema designed - **Tech Stack**: Python, Django, PostgreSQL - **AI Tools**: Cursor, Claude Code ## Next Steps 1. **Environment Setup** - Initialize AI DevKit with `aidevkit init` - Configure for Django backend with `aidevkit config backend django` 2. **AI-Assisted Development** - Use Cursor to generate API endpoints based on schema - Implement Claude Code for frontend React components 3. **Testing Framework** - Set up pytest with `aidevkit test setup pytest` - Generate test cases for critical paths ## Potential Challenges - Integrating payment gateway APIs - Optimizing database queries for large product catalogs
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