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AI Cockpit Reasoning Documentation

AI Cockpit Reasoning accelerates development with AI-driven code generation and task automation. This open source extension plugs directly into VS Code.

What Can AI Cockpit Reasoning Do?​

  • πŸš€ Generate Code from natural language descriptions
  • πŸ”§ Refactor & Debug existing code
  • πŸ“ Write & Update documentation
  • πŸ€” Answer Questions about your codebase
  • πŸ”„ Automate repetitive tasks
  • πŸ—οΈ Create new files and projects
  • 🎯 Bridge Project Management & Code - Automatically implement features from your project board stories

🌟 Key Differentiator: Reasoning Functionality​

AI Cockpit Reasoning's Reasoning Functionality sets it apart by directly connecting your project management workflow to code implementation:

  • πŸ”— Project Board Integration: Connect directly to your AI Cockpit projects and organizations
  • πŸ“‹ Story-Driven Development: Import stories and subtasks from your project board automatically
  • 🧠 Intelligent Analysis: AI analyzes story descriptions, business rules, and acceptance criteria
  • ⚑ Automatic Implementation: Generate working code that fulfills your project requirements in context

This unique capability transforms how you work by automatically bridging the gap between planning and implementation, ensuring requirements are accurately translated into working code while maintaining full traceability from story to implementation.

Quick Start​

  1. Install AI Cockpit Reasoning
  2. Set up AI Cockpit Reasoning
  3. Try Your First Task
  4. Explore Reasoning Functionality - Connect your project board for automated feature implementation

Features​

GIF showing some of the capabilities of AI Cockpit Reasoning

Basics​

Use the chat interface to tell AI Cockpit Reasoning what you need. It relies on coding‑optimized AI models to complete each request.

Using AI Cockpit Reasoning​

Reasoning Functionality - Project Board Integration​

Transform your development workflow with Reasoning Functionality:

  • Story-to-Code Pipeline: Automatically implement features directly from your project board stories
  • Requirements Analysis: AI analyzes story descriptions, business rules, and acceptance criteria
  • Contextual Implementation: Generate code that integrates seamlessly with your existing codebase
  • End-to-End Traceability: Maintain clear connections between project requirements and implementation

Multiple Modes​

AI Cockpit Reasoning adapts to your needs with specialized modes:

  • Code Mode: For general-purpose coding tasks
  • Architect Mode: For planning and technical leadership
  • Ask Mode: For answering questions and providing information
  • Debug Mode: For systematic problem diagnosis
  • Custom Modes: Create unlimited specialized personas for security auditing, performance optimization, documentation, or any other task

Core Tools​

AI Cockpit Reasoning comes with powerful tools that can:

See the complete Tools Reference for all available tools.

Extending AI Cockpit Reasoning​

  • MCP (Model Context Protocol): Add unlimited custom tools, integrate with external APIs, connect to databases, or create specialized development tools
  • Local Models: Run AI Cockpit Reasoning with local AI models for offline use or enhanced privacy

Customizing AI Cockpit Reasoning​

Make AI Cockpit Reasoning work your way with:

Resources​

Documentation​

Contact​

Ready to get started? Click the Next button below to begin your journey with AI Cockpit Reasoning!