Full course coming soon

Specifying and Reviewing AI-Generated Code in Production Teams

6 chapters · 29 lessons

1. 1. Writing Specifications That Constrain AI Output

   5 lessons

   Learn how to provide context, constraints, and examples that guide AI tools toward correct, maintainable code.

2. 2. Systematic Code Review for AI-Generated Output

   5 lessons

   Build review checklists and workflows that catch the specific failure modes of AI-generated code.

3. 3. Test Design for Generated Code

   5 lessons

   Create test strategies that validate AI output against real requirements, not just surface behavior.

4. 4. Architecture Decisions AI Cannot Make for You

   4 lessons

   Understand which design choices require human judgment even when AI drafts the implementation.

5. 5. Integration Workflows and Quality Gates

   5 lessons

   Design CI/CD pipelines and review processes that enforce quality standards for AI-generated code.

6. 6. Real-World Use Cases and Risk Assessment

   5 lessons

   Evaluate when AI assistance accelerates delivery versus when it introduces unacceptable technical debt or risk.