The Vibe Coding Learning Path
A structured curriculum for becoming proficient in AI-assisted development — from beginner to advanced.
Phase 1: Foundation (Week 1-2)
Goals
- Install and configure an AI IDE (Cursor recommended for learning)
- Successfully use inline completion for 50+ code suggestions
- Complete 5 chat-based code generation sessions
- Build one small project entirely with AI assistance
Key Skills
Basic prompting, accepting/rejecting suggestions, understanding when AI output needs modification, building confidence with AI-assisted workflow.
Phase 2: Intermediate (Week 3-4)
Goals
- Configure .cursorrules for a project
- Use multi-file editing for a feature spanning 3+ files
- Generate a complete test suite for an existing module
- Successfully debug a bug using AI assistance
Key Skills
Context management, multi-file workflows, test-driven vibe coding, debugging collaboration patterns.
Phase 3: Advanced (Month 2)
Goals
- Set up MCP servers for database and external tool access
- Complete a codebase migration (framework or language) using AI
- Implement a custom AI-powered feature in your application
- Establish a security review checklist for AI-generated code
Key Skills
Agentic workflows, prompt chaining, MCP integration, security review, architectural decision-making with AI support.
Phase 4: Expert (Month 3+)
Goals
- Build and deploy an MCP server for your team's workflows
- Train team members on AI coding practices
- Establish governance policies for AI code in your organization
- Contribute to open-source AI coding tools or write about your practices