Microsoft’s January 2026 Azure SDK release represents the most significant AI-focused update in the SDK’s history. This release introduces the Microsoft Foundry Agents Service integration, support for GPT-5, GPT-5-mini, and GPT-5-nano models in Azure AI Search, and a complete rebranding of “Knowledge Agent” to “Knowledge Base” with expanded capabilities. In this comprehensive guide, we’ll explore […]
Read more →Tag: .NET
Mastering C# Records: When, Why, and How to Use Them in Production
After years of working with C# in enterprise environments, I’ve seen developers struggle with the same question: when should I use a record instead of a class? The answer isn’t as straightforward as the documentation suggests. In this article, I’ll share my perspective on records—battle-tested patterns, surprising gotchas, and the decision framework I use in […]
Read more →Case Study: Enterprise Healthcare Integration – Building a HIPAA-Compliant Patient-Provider Platform
The Challenge: Healthcare Integration at Scale Solution Architecture: High-Level Design (HLD) ⚖️ COMPLIANCE HIPAA Requirements Met: All PHI encrypted using AES-256 (at rest) and TLS 1.3 (in transit). Comprehensive audit logging captures all data access events with immutable records stored in Azure Monitor. Access controls implement principle of least privilege using Azure AD RBAC with […]
Read more →Tools & Function Calling in Microsoft Agent Framework – Part 4
Deep dive into AI agent tools and function calling. Learn MCP integration, external API patterns, error handling, and tool chaining in Microsoft Agent Framework.
Read more →Building Your First AI Agent with Microsoft Agent Framework (.NET) – Part 2
Build a production-ready Customer Support AI agent using C# and .NET 8. Complete tutorial covering project setup, tools, multi-turn conversations, middleware, and error handling.
Read more →Introduction to Microsoft Agent Framework: The Open-Source Engine for Agentic AI Apps (Part 1)
Learn about Microsoft Agent Framework (MAF), the unified open-source SDK for building production-ready AI agents. This comprehensive guide covers the architecture, key features, and how MAF combines the best of Semantic Kernel and AutoGen for enterprise agentic AI development.
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