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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 ›
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Generative AI is rapidly emerging as a strategic asset in enterprise software development, enabling new capabilities and efficiencies that were previously out of reach. For organizations built on the Microsoft stack, integrating Azure OpenAI and related AI tools into .NET… more ›
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Building a modern .NET application now often means building an AI-powered application. Azure OpenAI Service provides the foundation – powerful large language models and more – but it’s up to software architects to design how those capabilities integrate into a… more ›
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The software development landscape is being transformed by AI-powered assistants and tools. For modern .NET development teams, GitHub Copilot and Azure’s growing suite of AI features offer a unique opportunity to supercharge productivity and code quality. In this article, we… more ›
