Developer Builds SDAQF Framework to Cut Human Oversight Burden in AI-Assisted Coding

A developer is building SDAQF, a specification-driven development and quality-assurance framework, after observing that AI-assisted 'vibe coding' workflows tend to drift from original project goals even with periodic human corrections. The framework is designed to concentrate human involvement on a limited set of decisions — such as defining goals, approving specification changes, and authorizing releases — while delegating repetitive tasks like state management and evidence collection to the AI agent. Requirements in SDAQF are assigned stable identifiers that remain linked to design, implementation, tests, and release status throughout the development lifecycle, preventing silent or unauthorized changes. The author acknowledges that vibe coding reduces some manual implementation errors but increases risks like unchecked model assumptions, hallucinations, and confirmation bias. The framework is still under development, and no claim is made that it solves these problems or outperforms existing tools.