Coders won't work without AI — but it's creating more bugs than it fixes
metr found devs refuse to code without ai, yet reports show ai-generated code requires 44% of tokens to fix. this signals a looming productivity crisis as maintenance costs outpace initial speed gains.
metr researchers were unable to replicate productivity studies because developers refused to work without ai, even for limited tasks, highlighting a deep dependency on the tools. however, enterprise data indicates this reliance may be misplaced: amazon scrapped its internal ai leaderboard due to gaming, and uber exhausted its ai budget without measurable productivity gains. independent research confirms ai-generated code introduces long-term maintenance costs, with reports indicating nearly half of token usage is dedicated to fixing errors caused by ai. as code quality degrades, developers face a dilemma where immediate speed boosts result in permanent maintenance burdens, potentially invalidating the perceived value of ai coding assistants.