Experienced software developers using AI code editors saw a 19% decrease in productivity, according to a new METR study.

A surprising new study finding that AI tools can reduce programmers' productivity is upending assumptions about the ...

What started as simple code completion has evolved through distinct generations, each representing a fundamental shift in how ...

The research, conducted by the non-profit Model Evaluation & Threat Research (METR), set out to measure the real-world impact ...

Despite glowing reviews, a rigorous study shows experienced coders take longer to complete tasks with AI, while still believing they’re faster.

Jellyfish's latest annual survey sheds more light on AI coding tools, and which services are used the most by software ...

Just because you can use generative AI in software development doesn’t mean you should. AI coding assistants powered by large language models (LLMs) are a productivity dream in some cases but a ...

Perplexity made AI coding tools mandatory, and its founder said engineers are now prototyping in hours instead of days.

The bitter irony is that tools meant to eliminate tedious work have created a new form of drudgery, removed the fun, and even created new messes. You're not using the AI—you're serving it.

Yet, many of the companies making the strongest statements about AI-written code are still hiring engineers. In parallel, some metrics suggest that code quality has either stagnated or, in some ...

"I think it's probably great for that and a great productivity tool for things that are so routine and so mundane and so well understood that maybe it's easy for a tool to produce it, and it saves you ...

AI coding assistants decreased experienced software developers' productivity by 19%, a new METR study suggests. The study found developers were overconfident in the AI tools, expecting a 20% ...