A recent DEV Community article contrasts 'vibe coding'—where AI generates plausible but unstable code—with true AI-driven development. The author argues that the critical difference lies in 'contracts,' specifically using tests to enforce correctness. The piece introduces Gold Standard TDD (GS-TDD), a variation of traditional TDD where developers generate a 'Red' failing test, instruct the AI to produce a 'Gold' production-ready implementation, and then 'Refactor.' This workflow ensures AI operates within strict constraints, preventing the 'probabilistic deployment' common in unverified AI coding.

By prioritizing explicit contracts over trust, teams can maintain security and reliability while leveraging AI speed.