What if the next generation of AI systems could not only understand context but also act on it in real time? Imagine a world where large language models (LLMs) seamlessly interact with external tools, ...

What if integrating powerful AI tools into your workflows was as simple as plugging in a USB drive? For years, developers have wrestled with the complexities of connecting large language models (LLMs) ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Shana Dacres-Lawrence explains the complex ...

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 ...

The past ten years have seen incredible advancements in the realm of Artificial Intelligence, but paradoxically, some of the most overt shortcomings of AI are still based not on intelligence but on ...

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 ...

Artificial intelligence is progressing rapidly, but there is one issue that many people do not discuss enough: context. Even the most intelligent systems are not very effective when they lack a clear ...

The Model Context Protocol (MCP) is an open source framework that aims to provide a standard way for AI systems, like large language models (LLMs), to interact with other tools, computing services, ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

MCP certification is a hot topic in AI hiring. Here’s what courses are available now, when official certification might arrive, and why it may not solve every problem. The Model Context Protocol (MCP) ...