[wbharding]

It's hard to reconcile how 59% of devs in their survey are "confident" AI is improving their code quality, with prior empirical research that shows a surge in added & copy/pasted lines w/ a corresponding drop in moved (refactored) lines https://www.gitclear.com/ai_assistant_code_quality_2025_rese...

My experience (using a mix of Copilot & Cursor through every day) is that AI has become very capable of solving problems of low-to-intermediate complexity. But it requires extreme discipline to vet the code afterward for the FUD and unnecessary artifacts that sneak in alongside the "essential" code. These extra artifacts/FUD are to my mind the core of what will make AI-generated code more difficult to maintain than human-authored code in the long-term.