Shows how .NET developers use Microsoft Foundry, Azure AI, Semantic Kernel and patterns like A2A and MCP to build and scale agent-driven, production-ready intelligent applications.In this podcast, we explore how .NET developers can rapidly build and scale intelligent, agent-driven applications using Microsoft Foundry. Learn how to integrate Azure AI capabilities, orchestrate multi-agent workflows with Semantic Kernel, and leverage modern patterns like A2A and MCP to create real-world, production-ready AI solutions. This talk focuses on practical architecture, developer productivity, and how to bring AI-powered applications to life faster within the .NET ecosystem.

Had a conversation with Joel Oleson about Enterprise AI Governance

You thought it was hard to herd cats and govern SharePoint. Now imagine lobster ranching, expect they aren’t in cages and they are all over the place! Climbing all over your enterprise data.
Let’s chat about the current and future state of agentic governance.

In this episode chat with the one of the creator behind Gtihub Agentic workflows to find out what inspired him and tell his story behind it. Peli traces the idea from continuous AI with GitHub Next to early prototypes running coding agents in CI/CD, and explains why automation experience from .NET testing and MakeCode learning sandboxes shaped the design. He defines agentic workflows as markdown-defined workers compiled to Actions, with layered security including containers, microVMs, firewalls, MCP-gated access, and a zero-secret policy.

https://github.com/github/gh-aw