Introduction Picture this: You've built an AI agent that analyzes financial data. A user uploads a quarterly report and asks: "What are the top three expense categories?" Behind the scenes, your ag...

Introduction In today's rapidly evolving AI landscape, developers often face a critical choice: should we use powerful cloud-based Large Language Models (LLMs) that require internet connectivity, o...

Introduction In the rapidly evolving tech landscape, staying on top of key project updates is crucial. This article explores how to leverage GitHub's newly released Copilot SDK to build intelligent...

The transition from standalone Large Language Models (LLMs) to Agentic Orchestration marks the next frontier in AI development. We are moving away from simple "prompt-and-response" cycles toward...

Enhanced Workflow and Agent Experience The January 2026 update for Microsoft Foundry extension in VS Code brings a follow update to the capabilities we introduced during Ignite of last year. We’re ...

In December, we presented a series about MCP, culminating in a session about adding authentication to MCP servers. I demoed a Python MCP server that uses Microsoft Entra for authentication, requiring...

Join us for a new 6‑part livestream series where we explore the foundational concepts behind building AI agents in Python using the Microsoft Agent Framework. This series is for anyone who wants to...

Happy New Year! 🎆 We are kicking off 2026 with a major set of updates designed to streamline how you build, test, and deploy AI agents. This month, we’ve focused on aligning with the latest GitHub...

As AI systems mature into multi‑agent ecosystems, the need for agents to communicate reliably and securely has become fundamental. Traditionally, agents built on different frameworks like Semantic Ke...

The transition from standalone Large Language Models (LLMs) to Agentic Orchestration marks the next frontier in AI development. We are moving away from simple "prompt-and-response" cycles toward...