AI Code Outpaces Developer Feedback

Cheap, high‑throughput code generation (the article cites ~1,000 net lines per commit from Claude) is creating a situation where machine output far exceeds the capacity of traditional human feedback loops (testers, users, design partners). As a result, more developers are using AI to build small, idiosyncratic tools for themselves rather than coordinating larger product feedback and QA processes. — If AI makes code cheap but leaves verification and feedback costly, software reliability, labor roles, and product strategies will shift, with implications for regulation, hiring, and platform risk.