Getting Started with the Microsoft Agent Framework in .NET
The convergence of AutoGen and Semantic Kernel is here — and it's production-ready.

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Building intelligent systems with Azure AI, Semantic Kernel, and the Microsoft Agent Framework — from prompt engineering to full agentic workflows. Practical patterns for .NET developers stepping into the AI space.
The convergence of AutoGen and Semantic Kernel is here — and it's production-ready.

These aren't theoretical techniques from a paper. They're what I actually use when building AI-integrated systems — learned the hard way, one broken output at a time.

A developer's honest, chaotic, and occasionally tearful journey through GitHub Copilot, ChatGPT, and Claude

Two battle-tested approaches to orchestrating AI agents in Azure. One gives you surgical control. The other gives you superpowers out of the box. Here's when to use which.

Fan-out, fan-in, self-critique loops, and quality gates — a production-ready agentic workflow in C# and Azure

You can't improve what you can't measure. Here's how to build a proper eval harness for your Azure AI Foundry agents — golden datasets, LLM-as-Judge scoring, regression gates in CI, and OpenTelemetry tracing.
