Working Code, Wrong Engineering: Why AI-Generated Code Needs System-Definition Tests

AI-generated code can work perfectly and still fail as engineering. It passes all functional tests while introducing SaaS cost drift, operational burden, license incompatibility, lifecycle drift, internal-platform drift, optimization drift, and failure-behavior drift. Functional tests are no longer enough. The solution is explicit, versioned, testable System Definitions enforced by two new pre-CI/CD gates: the Definition Gate (before generation) and a hybrid Generated-Code Gate (deterministic to