Most conversations start with "Should we use Copilot?" But that's a bit like asking "Should we use software?" The real question is: What outcome are we trying to achieve? Over the past few months, I've been exploring Microsoft's enterprise AI ecosystem and have found that many people use the terms Copilot , Cowork , and Copilot Studio interchangeably. In reality, they represent three very different layers of value. Copilot helps people do work, Cowork does work on behalf of people, and Copilot Studio enables organizations to build AI agents tailored to their business. Together, they form a progressive AI operating model that moves from productivity, to automation, to enterprise-scale agent development. What I find most interesting is how these capabilities build upon each other. Microsoft 365 Copilot sits closest to the employee, helping create content, summarize discussions, analyze information, and improve day-to-day productivity. Cowork then raises ...
Microsoft Foundry is quickly becoming the engineering‑grade backbone for building, deploying, and operationalizing AI systems at scale. Unlike traditional “chatbot builders” or UI‑only agent platforms, Foundry is designed for real developers — people who care about versioning, reproducibility, security boundaries, and clean architecture. At its core, Foundry gives you a unified place to define models, agents, tools, workflows, and evaluations, all backed by Azure’s enterprise‑grade infrastructure. But the real power shows up when you bring Foundry into Visual Studio Code, where everything becomes code‑first, scriptable, automatable, and production‑ready. In this blog, we’ll walk through the setup steps to connect and use your Microsoft Foundry LLm models in VS Code. Prerequistes: Download and install VS Code - https://code.visualstudio.com Set up GitHub Copilot in VS Code - https://code.visualstudio.com/docs/copilot/setup Create a Project for Microsoft Foundry - ...