Developer explains why rejecting AI-generated code, even when it works, improves long-term project quality

A developer discusses their decision to reject AI-generated code regardless of whether it functions correctly, arguing that factors like code readability, maintainability, and alignment with project conventions matter more than raw correctness. The piece explores the tension between AI code generation efficiency and long-term software engineering quality standards.