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Study shows AI coding assistants actually slow down experienced developers | Developers took 19% longer to finish tasks using AI tools
The research, conducted by the non-profit Model Evaluation & Threat Research (METR), set out to measure the real-world impact of advanced AI tools on software development. Over...
Cutting corners: In a surprising turn for the fast-evolving world of artificial intelligence, a new study has found that AI-powered coding assistants may actually hinder productivity among seasoned software developers, rather than accelerating it, which is the main reason devs use these tools. Over several months in early 2025, METR observed 16 experienced open-source developers as they tackled 246 genuine programming tasks – ranging from bug fixes to new feature implementations – on large code repositories they knew intimately. The data showed that developers actually took 19 percent longer to finish tasks when using AI tools, a result that ran counter not only to their perceptions but also to the forecasts of experts in economics and machine learning.
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