Microsoft
Developer Blogs

C++ developers can now bring IDE-style semantic intelligence into Copilot CLI with less setup. The C++ language server plugin supports richer code navigation, diagnostics, symbol understanding, and code changes by using the same build context your compiler does. That build context...

As previously mentioned to 'install' a package, as people think of the term, Windows actually performs two separate operations: staging and registration. To oversimplify: Staging puts the package content on disk. At this point the package is present, but inert and unused. Registering...

Microsoft 365 Copilot is brilliant with words - but work isn't only words. Introducing SharePoint Copilot Apps: bring rich, interactive UX components straight into the Copilot canvas, built with any JavaScript stack your team already knows. Reuse your existing SPFx investments across Copilot, SharePoint, and Teams - no new platform, no infrastructure, no lock-in.

Azure SDK releases every month. In this post, you'll find this month's highlights and release notes.

Part 1 of Build your own claw and agent harness with Microsoft Agent Framework. In the overview we said a "claw" is really just an agent harness: a loop around a model, wired up with tools, planning, memory, and more. In this first post we stand up that loop and give our personal...

What does it take to build your own "claw" - a capable, CLI-style agent that can plan, use tools, remember things, and safely act on your behalf? Coding agents and assistants like these can feel like magic, but underneath they are an agent harness: a loop around a language model wired up...

You open a fresh chat, type "What framework should I use for a web app?", and the model says "React." You screenshot it, share it, and write "Claude prefers React." It gets engagement. People nod along. A few reply with their own results. And now we have a consensus: Claude prefers React....

Starting in Word and expanding to nearly every other word processor, and even things that aren't word processors.

Deep Agents is an agent harness built on LangGraph, for agents that need to work through a task over many steps instead of a single LLM call. The agent runs tools, looks at the results, and uses that to pick the next one, keeping a todo list as it goes. On top of that loop the harness...