You now have systematic debugging skills. Read error messages before asking AI. Use bisection to narrow down problems. Isolate components to test them alone.
Watch for common AI mistakes: missing awaits, type mismatches, hallucinated APIs, and version problems. Use print debugging for quick checks, debuggers for complex issues.
Next, you'll learn to take AI projects to production.