Close to one-third of code is now AI-generated. Developer productivity is up 4% due to generative AI. Productivity gains are limited to more experienced developers. The amount of AI-generated code ...

Matt Anderson (He/Him) is a Features Writer from Philadelphia, Pennsylvania. He's been gaming as far back as four years old on the original PlayStation and writing in the industry for several years.

Software developers have spent the past two years watching AI coding tools evolve from advanced autocomplete into something that can, in some cases, build entire applications from a text prompt. Tools ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

When the creator of the world's most advanced coding agent speaks, Silicon Valley doesn't just listen — it takes notes. "If you're not reading the Claude Code best practices straight from its creator, ...

Progress Software has announced a significant update to its Telerik® and Kendo UI® developer tool suites, headlined by the introduction of a new artificial intelligence feature. This launch marks a ...

Amazon Q Developer is a useful AI-powered coding assistant with chat, CLI, Model Context Protocol and agent support, and AWS expertise. When I reviewed Amazon Q Developer in 2024, I noted that it was ...

In the summer of 2012, ROUTINE was revealed at the largest video gaming convention in the world Gamescom, but after well over a decade later it has yet to make it into the hands of players. In the ...

Third Person Shooter Congrats, you played yourself, Arc Raiders' machines aren't actually learning: 'That's just the way we author them' AI Unity boss who once called out the 'idiocy' of the metaverse ...

CHARLOTTESVILLE, Va. (WRIC) — A fourth-year journalism student at the University of Virginia (UVA) was allegedly let go from her independent, student-run media organization after refusing to apologize ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.