Cleaning up after AI rockstar developers
Summary
The article examines the phenomenon of 'rockstar' developers and the messy codebases left behind, particularly as teams increasingly rely on AI-generated code. It argues for disciplined engineering, manage debt, and guiding LLMs to produce maintainable software rather than unfathomable systems.