Category: .NET Engineering
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When a .NET application misbehaves in production, traditional debugging isn’t an option. You can’t simply pause a live service or attach a full debugger without disrupting users. This is where… more ›
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Observability in .NET 8 goes beyond debugging to give developers real-time insight into applications in production. This guide explores logging, metrics, and distributed tracing with ILogger, OpenTelemetry, and built-in .NET… more ›
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.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 ›
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Learn how to build portable, testable AI features in .NET 9 using Microsoft.Extensions.AI — with completions, streaming, tools, and structured output. more ›
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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 ›
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In the modern era of software development, building an API is no longer just about exposing data over HTTP. A truly “cloud-native” API is an engineered system designed from the… more ›
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For years,.NET developers have been building rich, interactive web UIs with Blazor, a powerful framework that brings C# to the browser. Historically, this involved a significant upfront decision: choose Blazor… more ›
