-
The Mimic in the Library: Trusting AI Without Being Fooled
Not every answer wearing the robes of wisdom deserves your trust. There is a particular danger experienced adventurers learn to fear more than an obvious monster. A dragon announces itself with fire, claws, and a considerable disregard for local building codes. A mimic survives by looking useful. AI-generated production code can present the same problem. The function is clean, the naming is sensible, and the explanation sounds authoritative. Nothing immediately signals that somewhere inside it sits an incorrect assumption, a nonexistent API, a security weakness, or an architectural decision that does not belong in production. Modern AI tools are remarkably good at producing plausible code. Given a clear request, they…


