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Microsoft Semantic Kernel

This tag archive explores the application of Microsoft's Semantic Kernel technology in various .NET and Azure projects, focusing on practical considerations such as performance, architecture, and deployment. For software engineers working with AI in these ecosystems, understanding Semantic Kernel's capabilities and limitations is crucial for developing robust and scalable solutions.

16 articles since Jun 2026

Navigating a Career as a Staff Engineer with AI and .NET

Learn how to navigate a career as a staff engineer with AI and .NET, including key skills, best practices, and real-world examples. Discover how to thrive in the evolving tech landscape and stay ahead of the curve.

Aug 10, 2026 7 min read

Unlock AI Potential with Azure AI Foundry and Agentic AI

Get started with Azure AI Foundry and Agentic AI to unlock the full potential of artificial intelligence in your applications. This comprehensive tutorial covers the fundamentals, setup, and advanced topics of Azure AI Foundry with Agentic AI.

Jul 29, 2026 7 min read