LLMs work best when the user defines their acceptance criteria first
KatanaQuant Blog·medium signal
A blog post arguing that LLM-generated code quality improves dramatically when users provide explicit acceptance criteria (essentially test cases) before asking for code. At 124 points and 94 comments, the HN community is validating a practical workflow pattern: treat LLMs like junior developers who need a clear spec. This is actionable advice for anyone using AI coding tools and aligns with the emerging "prompt-as-spec" methodology.