Create Your First AI-Powered Workspace in 5 Minutes
This guide will walk you through setting up Genie, creating a ready-to-run AI workspace, and executing your first plan → wish → forge → review workflow.Step 1: Initialize Genie
Step 2: Configure Genie
Edit.genie/config.json:
Step 3: Index Your Repository
Genie needs to understand your codebase:Step 4: Make Your First Wish
Use the Genie workflow: Plan → Wish → Forge → ReviewStep 5: Execute the Plan
Step 6: Forge (Execute)
Let Genie’s agents build it:Step 7: Review
Review the AI-generated code:Real-World Example: Feature Development
Complete workflow from idea to production:1
Plan: Analyze Requirements
2
Wish: Define Specifications
Edit
wishes/blog-api.md to refine:3
Forge: AI Builds It
4
Review: Validate Quality
5
Iterate: Improve
Using the MCP Server
Genie exposes an MCP server for other AI agents: 1. Start MCP Serverclaude_desktop_config.json:
Template Management
Keep your project templates in sync:Common Workflows
- Feature Development
- Bug Fix
- Refactoring
- Documentation
Meta-Learning
Genie learns from your patterns:Pro Tips
Keep Wishes Focused
Keep Wishes Focused
Good wishes:Too broad:
Review Before Merging
Review Before Merging
Always review AI-generated code:
Use Context from Memory
Use Context from Memory
Next Steps
Advanced Workflows
Learn:
- Multi-step planning
- Agent coordination
- Custom delivery agents
MCP Integration
Connect:
- Claude Desktop
- VSCode
- Custom AI agents
Template System
Master:
- Template creation
- Sync strategies
- Custom templates
Meta-Learning
Explore:
- Pattern recognition
- Code style learning
- Preference adaptation
Troubleshooting
Repository indexing slow
Repository indexing slow
Exclude large directories:
Forge fails to generate code
Forge fails to generate code
Check that your wish is clear:
MCP server connection issues
MCP server connection issues
Congratulations! 🎉 You’ve created your first AI-powered workspace with Genie. You’re ready to orchestrate AI agents for systematic development!
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