AI agents and agentic workflows are the current buzzwords among developers and technical decision makers. While they certainly deserve the community's and ecosystem's attention, there is less emphasis ...

Anthropic’s model context protocol (MCP), the ‘plug-and-play bridge for LLMs and AI agents’ to connect with external tools, has received a major update one year after its launch.

As organizations push AI systems into production, IT teams are asking how to make models more dependable, secure and useful in real-world workflows. One approach gaining traction is the Model Context ...

Imagine you’ve trained or fine‑tuned a chatbot or an LLM, and it can chat comfortably without any serious hiccups. You feed it a prompt and it responds. However, it’s stuck in a bubble: It only knows ...

The Agentic AI Foundation becomes part of the Linux Foundation to standardize autonomous agent infrastructure.

Giridhar Raj Singh Chowhan is a principal architect at Microsoft where he focuses on enterprise architecture and AI cloud platforms. AI agents are rapidly becoming the interface between users and ...

The Model Context Protocol (MCP) for agentic AI has gained much traction since being introduced by Anthropic last November, and now it has a C# SDK. The MCP is a standard for integrating large ...

Microsoft announced two related updates for Visual Studio: support for bringing your own model (BYOM) to Copilot Chat and general availability of the Model Context Protocol (MCP) client in the IDE.