AI-generated code doesn't fail loudly. It fails correctly-looking.

AI-generated code rarely breaks in obvious ways. It passes review, ships to production, and behaves correctly in controlled scenarios. The problem is what happens after: failures appear only under timing, load, retries, or inconsistent state transitions. The core issue is not obvious bugs. It is code that looks structurally correct while silently ignoring real-world failure modes. Why AI code feels correct AI tends to generate implementations with strong surface-level signals:...