Category: AI for Engineering

• Building Autonomous .NET Agents: From Hosted Services to Cognitive Loops

  Nov 11

  As AI systems evolve, .NET developers stand on the brink of a new paradigm — one where intelligent agents replace traditional services. This article explores how hosted services, Semantic Kernel… more ›

• Why AI Middleware Will Redefine the .NET Stack by 2026

  Oct 26

  Discover why AI middleware will transform .NET by 2026. This visionary essay explores the API explosion driven by agentic AI, Microsoft’s unified AI abstractions, Semantic Kernel orchestration, vector search integration,… more ›

• The Future of .NET Development in the Age of AI Agents

  Oct 21

  The above article was a forward-looking exploration of how .NET development is transforming with the rise of AI agents, blending personal insights with Microsoft’s latest AI tooling.* more ›

• Building a Production-Ready RAG (Retrieval-Augmented Generation) System with .NET and Azure AI Search

  Oct 5

  Learn how to build a retrieval‑augmented generation (RAG) pipeline with .NET and Azure AI Search. The article covers ingestion and chunking, index design, hybrid and vector retrieval, prompt engineering, and… more ›

• What’s New in .NET 10: AI-Ready Platform Enhancements for .NET Developers

  Sep 8

  .NET 10 is the next LTS release that transforms the platform into an AI-ready powerhouse. This deep dive explores C# 14 enhancements, ASP.NET Core 10 updates, EF Core 10 vector… more ›

• Getting Started with Microsoft.Extensions.AI in .NET 9 : A Technical Deep Dive

  Aug 13

  Learn how to build portable, testable AI features in .NET 9 using Microsoft.Extensions.AI — with completions, streaming, tools, and structured output. more ›

• Deep Dive into the MCP C# SDK and the 2025-06-18 Update

  Aug 2

  Introduction: Connecting .NET Apps to AI with MCP This comprehensive guide demystifies the Model Context Protocol (MCP) C# SDK – explaining what MCP is, why it matters for .NET and… more ›