AI makes predictable mistakes. Watch for:
- Off-by-one errors in loops (< vs <=)
- Null/undefined not handled
- Async operations used synchronously
- Wrong variable names (similar names confused)
- Outdated API usage from old training data
When debugging AI code, check these patterns first. They account for most bugs.