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AI DevKit provides a structured workflow that takes you from idea to deployed feature. Instead of jumping straight into code, you'll create documentation at each phase—this gives your AI assistant the context it needs to help you effectively.
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The `/new-requirement` command is your entry point for any new feature development. It guides you through a complete development lifecycle:
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## Why Structured Development?
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```bash
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# In Cursor or Claude Code
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When you work with AI assistants without structure, you often:
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- Lose context between sessions
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- Repeat yourself explaining requirements
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- End up with inconsistent code and documentation
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AI DevKit solves this by creating documentation as you go. Each document becomes context for the next phase, so your AI assistant always knows what you're building and why.
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## The Development Lifecycle
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### 1. Start with `/new-requirement`
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The `/new-requirement` command is your entry point for any new feature. It guides you through the complete lifecycle:
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```
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/new-requirement
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```
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**What happens:**
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1.**Requirements Capture** - Define what you're building and why
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2.**Design Phase** - Create architecture and technical specifications
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3.**Planning** - Break down work into actionable tasks
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4.**Implementation** - Step-by-step coding with guidance
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5.**Testing** - Generate comprehensive test coverage
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6.**Git Workflow** - Structured commits and PR creation
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**Generated Documentation:**
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-`docs/ai/requirements/feature-{name}.md` - Requirements and user stories
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-`docs/ai/design/feature-{name}.md` - Architecture and technical design
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-`docs/ai/planning/feature-{name}.md` - Task breakdown and timeline
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