The technology, which enables rapid business transformation, requires a new data layer—one built for speed, scale, and ...

The move affects users of GitHub’s most advanced AI models, including Anthropic’s Claude 3.5 and 3.7 Sonnet, Google’s Gemini ...

AI initiatives fail for a handful of well-known reasons. Developers, data scientists, and technology leaders hold the keys to ...

Dead code, security false positives, and idle cloud capacity are the leading drags on devops in Java environments. Here’s how ...

New offerings from AWS, Google Cloud, and Microsoft Azure have upended the sovereign cloud services market—and raised ...

We won’t make progress with AI if we don’t know how to predict costs accurately. Enterprises are running in circles.

Two celebrated frameworks get together to make your life easier. Here’s a first look at full-stack JavaScript development ...

Model Context Protocol, Agent2Agent protocol, and Agent Communication Protocol take slightly different approaches to AI agent ...

Why use expensive AI inferencing services in the cloud when you can use a small language model in your web browser?

Truly enterprise-grade multicloud management solutions are rare, but these come close. And their diverse approaches address a ...

Generative AI vendors are quickly learning not to ignore developers, or developer experience, in the rush to bring new AI ...

Reasoning model optimized for cost and speed shines for high throughput tasks like classification or summarization at scale, ...