EDA produces a lot of data, but how useful is that for AI to consume? The industry looks at new ways to help AI do a better job.

引言 随着软件行业进入智能体时代，开发者和架构师面临着一个熟悉的挑战。正如微服务的兴起需要标准化的通信模式，如REST和gRPC，专业AI智能体的激增需要一个强大的框架，使它们能够有效地发现、通信和协作。

Until recently, if you wanted your AI agent to check flight prices or look up a database, you had to write a custom tool. When Anthropic released the Model Context Protocol (MCP), it created a ...

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 ...

The ability to connect to both cloud and on-premises versions of Azure DevOps is a significant advantage. It means the server can be a consistent part of your AI-DevOps workflow, regardless of where ...

Human-agent collaboration is at the heart of the AI-first organization vision, combining human creativity with AI capabilities to boost business efficiency and productivity. As people work with AI ...

Early in the game, you might come across a door that tells you that it requires the Storage Room Key to be opened. Unfortunately, this key requires you to go on a bit of an adventure to find it.

Developer Knowledge API and Model Context Protocol server. Together connect AI agents to Google’s developer and Google Cloud documentation. Google is previewing the Developer Knowledge API and an ...

As more and more Americans turn to generative AI tools to answer their questions, federal officials are working to ensure that third-party chatbots can more easily rely on public data to inform ...

Built in collaboration with Anthropic, AWS, GitHub, Google, and Windsurf, Miro’s MCP server helps product and engineering teams align faster and build with greater context Miro®, the AI Innovation ...

SINGAPORE, Jan. 27, 2026 /PRNewswire/ -- Digital travel platform Agoda today announced the open-source release of its API Agent, a universal Model Context Protocol (MCP) server designed to help ...