AI engineering articles for .NET developers: Azure OpenAI deployments, MCP servers in ASP.NET Core, agent frameworks, token-efficient data formats and AI-assisted testing.
Building with AI in .NET means integrating models into real services: Azure OpenAI deployments, Model Context Protocol servers, agent frameworks and data formats that keep token usage low. These articles are the engineering side of that work, with code and trade-offs rather than demos.
Hands-on workshop on this topic: GitHub Copilot Workshop
Microsoft Agent Framework is the successor to the agent capabilities in Semantic Kernel and AutoGen. That statement is easy to misread as “replace the package and rename a few classes.” The migration is more …
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An MCP server can look deceptively small. A package is installed, a method receives an attribute and ASP.NET Core maps an endpoint. That is enough for a demonstration. It is not enough for a server that is allowed to …
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This workshop helps development teams adopt GitHub Copilot as a reliable part of their daily engineering workflow, rather than an ad-hoc experiment. Participants learn how to write effective prompts, use Copilot Chat for …
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The 2.0 release of the official Model Context Protocol (MCP) C# SDK is more than a version increment. It implements the 2026-07-28 MCP specification revision, which changes the default shape of MCP over HTTP. The …
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MiMo V2.5 is the latest reasoning and coding model from Xiaomi’s AI lab. Xiaomi positions MiMo as a general-purpose reasoning model with particular strength in code generation, structured output and tool calling. In May …
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GitHub Copilot’s pricing shift from flat premium request units to token-based GitHub AI Credits, scheduled for June 1, 2026, changes the economics of heavy AI usage in VS Code meaningfully. Models with large context …
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GitHub Copilot is moving into a different cost model. GitHub announced that Copilot plans will transition from premium request units to GitHub AI Credits on June 1, 2026. Usage will be calculated from token consumption, …
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The landscape of AI development is shifting rapidly from simple chat interfaces to fully integrated, agentic workflows like the Ralph Loop . GitHub has recently introduced the GitHub Copilot SDK , a powerful toolkit that …
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Introduction If you build systems that pass structured data through large language models (LLMs), you eventually hit the same set of issues:
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The Model Context Protocol (MCP) server acts as a centralized context management backend for advanced AI applications. Unlike traditional session or prompt-based approaches, the MCP server manages a persistent, …
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