A Model Context Protocol (MCP) server implementation for Azure DevOps, allowing AI assistants to interact with Azure DevOps APIs through a standardized protocol. Looking for the official server?

Learn how DevSecOps embeds security across development and cloud environments to reduce risk while maintaining delivery speed and compliance. DevSecOps integrates security into every stage of modern ...

Cloud computing has transformed the way businesses operate, offering scalable and cost-effective solutions for managing IT infrastructure. Microsoft Azure is one of the leading cloud platforms, and ...

At Microsoft Digital, the company’s IT organization, we’re reimagining how engineers, product managers, and program managers work. Microsoft Azure DevOps (ADO) is our company’s end-to-end software ...

Microsoft combines accelerated computing with cloud scale engineering to bring advanced AI capabilities to our customers. For years, we’ve worked with NVIDIA to integrate hardware, software and ...

Microsoft has moved its Model Context Protocol (MCP) support for Azure Functions to General Availability, signaling a shift toward standardized, identity-secure agentic workflows. By integrating ...

Azure DevOps Server is now generally available, marking its transition to a production-ready on-premises offering for teams that need to self-host their DevOps platform. The GA release packages ...

Today’s AI coding agents are impressive. They can generate complex multi-line blocks of code, refactor according to internal style, explain their reasoning in plain English, and more. However, AI ...

The first three frontier agents revolutionize how you build, secure, and operate software. AI agents have transformed how development teams work, and as the technology evolves, teams are learning how ...