Why Better Prompts Cannot Govern AI-Generated Code

Prompt quality cannot solve the architectural risks of AI-generated code when models lack persistent knowledge of system rules, dependencies, and compliance constraints. The article identifies four gaps: weak grounding in existing systems, inconsistent generations, limited understanding of production behavior, and missing governance trails. It proposes persistent, machine-readable specifications as the reference point for generation, validation, and auditability. Technology leaders should treat AI coding as a controlled engineering pipeline rather than relying on prompts and downstream code review to preserve system intent.