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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 tools. Learn how to monitor performance, detect issues, and optimize… 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 search, WebSocketStream, and System.Text.Json PipeReader. Learn how these features improve… 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 AI integration, and how to get started – while also… 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 ground up to thrive in a distributed, elastic, and often… 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 Server for a fast-loading, server-connected application powered by SignalR, or… more ›
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The software development landscape is in a constant state of evolution, driven by the relentless demand for applications that are scalable, resilient, and can be updated rapidly. For years, the monolithic architecture was the default choice for building applications, a… more ›
