AI usage generates a fragile codebase

A developer who says he was laid off from Meta in May argues that heavy reliance on AI coding tools produces brittle code, citing shallow tests, overly complex code, declining human understanding of the codebase, and review speed that outpaces quality control. He lists signs of a fragile AI-generated codebase, including rising incidents, slower incident recovery, errors visible only to users, and a degraded user experience, and concludes that high-quality SaaS products will keep a human touch.