Google and Microsoft's new WebMCP standard lets websites expose callable tools to AI agents through the browser — replacing costly scraping with structured function calls.

OpenAI has spent the past year systematically reducing its dependence on Nvidia. The company signed a massive multi-year deal with AMD in October 2025, struck a $38 billion cloud computing agreement ...

Learn how frameworks like Solid, Svelte, and Angular are using the Signals pattern to deliver reactive state without the ...

Arcjet today announced the release of v1.0 of its Arcjet JavaScript SDK, marking the transition from beta to a stable, production-ready API that teams can confidently adopt for the long term. After ...

As diabetes continues to impact more than 40 million Americans, two leading healthcare companies are teaming up to bring care beyond the clinic. CCS, a leading provider of clinica ...

Here's how the JavaScript Registry evolves makes building, sharing, and using JavaScript packages simpler and more secure ...

More than 35 years after the first website went online, the web has evolved from static pages to complex interactive systems, ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

The latest DTI codes will net you all manner of free outfits and accessories, so you can slay in the Roblox game. January 19, 2026: We added one new Dress to Impress code. Dress to Impress is one of ...

Pass your NMLS exam on the first attempt with OnCourse Learning’s top-tier exam preparation tools. These courses are tailored to help you succeed with features like: OnCourse Learning’s exam prep ...

Google made another change to the JavaScript SEO documentation help document to explain and clarify JavaScript execution on non-200 HTTP status codes. The change. Google wrote, “All pages with a 200 ...

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...