Last updated: January 26, 2026 by the editorial team
Author's): Ahmed M. Abdelfattah
Originally published in Towards Artificial Intelligence.
16 programmers. 246 real tasks. One randomized controlled trial. The results contradict everything the vendors claim. and everything that developers believe in.
Same study. The same developers. The same tasks. Three numbers that shouldn't appear together.

The article discussed a study by METR that found that developers using AI tools believed they were faster, even though measured results showed a productivity slowdown of 19%. Initial expectations were for a 24% increase in speed, compared to a perceived increase of 20%, which highlighted a significant difference in perception from reality – 39 percentage points. The study's findings suggest that developers may feel more productive due to the enjoyment of AI tools rather than the actual results, leading to misleading assessments of the effectiveness of AI in software development.
Read the entire blog for free on Medium.
Published via Towards AI
Take our 90+ year old Beginner to Advanced LLM Developer Certification: From project selection to implementing a working product, this is the most comprehensive and practical LLM course on the market!
Towards AI has published 'Building an LLM for Manufacturing' – our 470+ page guide to mastering the LLM with practical projects and expert insights!
Discover your dream career in AI with AI Jobs
Towards AI has created a job board tailored specifically to machine learning and data analytics jobs and skills. Our software finds current AI tasks every hour, tags them and categorizes them so they can be easily searched. Explore over 40,000 live job opportunities with Towards AI Jobs today!
Note: The content contains the views of the authors and not Towards AI.


















