I’ve been reading a lot about AI-assisted development lately, and one thing keeps bothering me: everyone talks about speed, but almost nobody talks about what happens after. In my last project we used AI to scaffold most of the backend services, and at first everything looked amazing because we were shipping features really fast. But after a month, the codebase started feeling “heavy” — duplicated logic, inconsistent patterns, and small shortcuts that didn’t seem important at first but started piling up. I started wondering if we’re actually reducing work or just pushing complexity into the future. This article this read more got me thinking that maybe the real skill is not generating code anymore, but controlling what AI produces before it becomes a mess.
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