New controls for model reasoning and Copilot code-review depth let developers decide how much AI effort a task warrants, with speed, depth and credit consumption all part of the tradeoff.

Production telemetry from millions of GitHub Copilot users shows that 87 percent of LLM calls are initiated by the agent itself after a developer starts a turn, while failures can trigger lengthy ...

McKinsey’s latest State of AI report revealed that 62% of organizations have started experimenting with AI agents in some form. However, Gartner expects over 40% of these projects to be scrapped by ...

We've looked into the issue of generative AI being used to make Skyrim mods, from the perspective of players, modders, and ...

Good afternoon, and thank you for joining us on today's conference call to discuss Figma's results for the second quarter of 2026. On the call, we have Dylan Field, Figma's Co-Founder and Chief ...

Vote for the best innovation in the feedlot industry through the ALFA Innovation Competition, which celebrates the clever ...

Spread the loveIn an increasingly digital world, seamless communication and efficient scheduling are no longer luxuries; they ...

Spread the loveIf you’ve ever wrestled with data, tried to organize information, or collaborated on a project, chances are ...

Latest update to Microsoft’s code editor improves dictation, introduces side chats, and adds support for comments to provide ...

Aug 5 (Reuters) - Meta Platforms on Wednesday launched Muse Code, a coding tool powered by its latest AI model, Muse Spark ...

Built for agents and would-be app makers to wrangle complicated workflows, this programmable shortcut pad makes AI tangible.

Amjad Masad and Haya Odeh built Replit together from scratch. Can they defend its position as an industry juggernaut?