A software developer compares the challenges of cleaning up poorly-maintained code left by human "rockstar" developers to the emerging problem of AI-generated code that creates similar technical debt across codebases. The article argues that while AI can be useful, developers should maintain control over engineering decisions and prioritize code maintainability and team understanding over speed.
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A software developer compares the challenges of cleaning up poorly-maintained code left by human "rockstar" developers to the emerging problem of AI-generated code that creates similar technical debt across codebases. The article argues that while AI can be useful, developers should maintain control over engineering decisions and prioritize code maintainability and team understanding over speed.