The Model Context Protocol (MCP) is becoming a richer foundation for agent experiences. Though most servers return plain text from their tool calls, MCP servers can also return binary results and pro...

Building AI Agents from Zero to Production Most agent demos stop at "it answered my question." Production doesn't. The gap between a notebook that calls an LLM and a governed, observable, multi-age...

What is Multi-Model Chaos, and what cost and security challenges does it pose?  Multi-model chaos describes the sprawl that emerges when an organization rapidly adopts many large language and found...

The one shift that changes everything For two years, "AI coding" meant autocomplete. A suggestion appears in your editor, you hit tab, you move on. The agent only existed while you were actively ty...

GitHub Copilot has become a core part of the modern developer workflow. We use it to complete code, explain unfamiliar repositories, write tests, refactor legacy applications, review pull requests, g...

In AI applications, tokens are now cost — and token economics deserves architectural attention For a long time, AI application design started with model capability: Can the model write code? Can it...

Introduction External collaboration is a common requirement for business applications built on Microsoft Power Platform. Organizations may need to provide controlled access to vendors, partners, co...

Introduction This blog is the next part of a series discussing Foundry Hosted Agents and how to properly construct Continuous Integration and Continuous Delivery (CI/CD) for them. This post will sp...

There is a moment, the first time you open a GitHub Copilot App Canvas, when you reach for the wrong metaphor. You see panels, buttons, live status cards and you think "dashboard." You start designin...

What if your development environment didn't just help you write code, but helped you observe, steer, and evolve a living system while it runs? That's the shift GitHub Copilot App Canvas represents. C...