AI code breaks for predictable reasons:
- Outdated patterns from old training data
- Missing context about your specific environment
- Hallucinated APIs that don't exist
- Correct logic with wrong syntax for your language version
- Edge cases the AI didn't consider
Knowing why helps you debug faster. Each failure mode has different symptoms and fixes.