Module 1: Foundations of AI-Driven Development
Understand AI-assisted development and the AIDD framework
Module 2: Prompt Engineering for Developers
Learn to craft effective prompts and specifications
Module 3: Quality Assurance with AI
Implement TDD workflows and understand AI limitations
Module 4: Real-World Applications
Case studies and comparison of AI development tools
Module 5: Advanced Topics
Building AI agents and best practices for the future
Hands-On Exercises
Apply AIDD methodology through practical coding exercises
Environment Setup
Set up your AI development environment: IDE configuration, AI assistants, and project structure
Practical 2Your First AIDD Project
Build a complete feature using the AIDD workflow from vision document to deployment
Practical 3Complex Feature Implementation
Tackle a complex feature with multiple components, edge cases, and proper testing
Practical 4Debugging with AI
Use AI to analyze stack traces, identify root causes, and fix bugs systematically
Practical 5AI-Assisted Code Review
Conduct thorough code reviews for security, performance, and code smells with AI
Practical 6Refactoring Legacy Code
Safely modernize legacy code using characterization tests and design patterns
Practical 7API Integration with AI
Generate type-safe API clients with proper error handling and integration tests