About the A2A Protocol The Agent-to-Agent (A2A) Protocol is an open standard that enables AI agents to discover, communicate, and transact with each other across different frameworks, vendors, and ...

Google has officially released the Colab MCP Server, an implementation of the Model Context Protocol (MCP) that enables AI agents to interact directly with the Google Colab environment. This ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...

The next wave of AI will be defined by agentic systems that can take actions: query databases, navigate portals, retrieve records, and increasingly interact with public digital infrastructure at scale ...

The AI updates aren't slowing down. Literally two days after OpenAI launched a new underlying AI model for ChatGPT called GPT-5.3 Instant, the company has unveiled another, even more massive upgrade: ...

Following the Gemini automation announcement today, Google is detailing how all this works under the hood on Android. Google is “introducing early stage developer capabilities that bridge the gap ...

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 ...

Anthropic’s Model Context Protocol (MCP), coined the “USB-C for AI,” has inspired the software industry to think bigger with their AI assistants. Now, armed with access to external data and APIs, as ...

Apple is bringing agentic coding to Xcode. On Tuesday, the company announced the release of Xcode 26.3, which will allow developers to use agentic tools, including Anthropic’s Claude Agent and ...

What if your AI agents truly understood your business—your data, your workflows, your goals—and IT could still govern them at scale? That’s the promise of Adaptive Intelligence, and it’s now within ...

- DevOps engineers and enterprise teams can now interact with Jenkins build systems through AI interfaces, reducing manual monitoring and troubleshooting tasks - The solution uses Model Context ...