The A2A protocol addresses the need for autonomous AI agents to coordinate actions across a wide array of applications and ...

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

Kotlin-based framework for building asynchronous applications also now automatically deserializes configuration files into ...

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

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 ...

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

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

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

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

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

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