METR finds AI coding makes developers slower

The author argues that the biggest risks in AI-assisted coding stem from human psychological biases rather than technical flaws in the models. Developers frequently experience a false sense of productivity and face difficulties in critical code review due to automation bias, skill decay, and confidence heuristics. To counter these effects, teams are advised to rely on mechanical verification, automated testing, and structured workflows rather than gut feeling. Open article →