When I reject AI code even if it works

The author argues that while AI coding agents are fast and capable, they often produce code that works but lacks the thoughtful design of human-created solutions. Rather than accepting AI-generated code, the author frequently rejects it and starts over, finding that taking time to understand the problem deeply leads to better architectural decisions than letting the AI drive the solution. Effective use of coding agents requires experienced engineers to guide them, not autonomous acceptance of their output, since working code doesn't guarantee a good long-term solution.