A Microsoft MVP Blog post on Visual Studio Live!'s longevity arrives as the 2026 conference series continues with upcoming stops at Microsoft HQ, San Diego and Orlando.

DALLAS, June 11, 2026 /PRNewswire/ -- Form.io, the enterprise application infrastructure platform trusted by regulated industries and government agencies worldwide, today announced a formal ...

Forget about learning to code. Meta Platforms META4.77%increase; up pointing triangle says it’s time to pick up a wrench. The company is starting a “workforce academy” to train Americans to build its ...

NEW YORK, June 8 (Reuters) - Meta (META.O), opens new tab is investing $115 million to stand up a new training program for data center technician jobs, as the social media giant races to build the ...

Website traffic from AI agents and bots has eclipsed its human-generated counterpart for the first time, according to Cloudflare, an earlier-than-expected milestone that speaks to AI’s rapid advance ...

Live from San Francisco, we compiled all the biggest news from Microsoft's annual developer conference. This is how Microsoft sees the future of AI computing. Microsoft Build is officially over, but ...

Tech companies are earmarking unprecedented sums of money to finance the build-out of massive data centers, with a planned $85 billion equity-raise by Google parent Alphabet GOOGL1.17%increase; up ...

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Platforms shift when developers build. We explore, choose tools, dream, create. This platform shift comes with more information than ever, ready at your fingertips. This shift, it’s about building ...

Microsoft used Build 2026 to position Windows as a platform for building and running AI agents, not just adding AI features to Windows apps. New and preview technologies include Windows Development ...

Exactly how artificial intelligence will shake up the U.S. job market won't be certain for years. In the short term, the rapid buildout of data centers powering the rise of artificial intelligence is ...

Getting hired in data science has never been purely about what you know. It is about what you have built. Hiring teams want to see how you think when the dataset is messy, the problem is not clearly ...