Integrating Semantic Kernel into ASP.NET applications is straightforward, due to built-in support for Dependency Injection (DI). This makes well-known features such as configuration, logging, and hosting trivial to use for AI Agent development. However, while debugging an agent issue, I discovered that all logging information from the Semantic Kernel was missing! This article explains issue’s root cause and how to fix it.
DeepSeek models have taken technological world by surprise, demonstrating that cutting-edge AI development is no longer confined to the certain valley made out of silicon, but has become a global phenomenon. Although Microsoft has traditionally partnered with OpenAI, the users of its technologies still have reasons to be optimistic. The Azure cloud platform recently announced support for the DeepSeek R1 model through its Azure AI Foundry service. Currently in public preview, the model may be run in serverless mode and is free of charge. This article will guide you through deploying the R1 model and integrating it with .NET applications.
New month, new exciting moments from my life as a developer. I hope you will enjoy reading about these flashes of clarity, that come suddenly after solving unfamiliar problems. Or as I like to call them - Ahaaas!
In fast paced technology world, developers discover new insights practically on a daily level. Surely you have experienced these moments of almost divine wisdom, ending with “Now I know xyz can do that” or “I have to be aware of xyz” or “Eureka!”. I have recorded my moments of clarity, or Ahaaas as I call them, hoping that some of them will prove useful to you, whether you’d be dealing with .NET development, Azure or Docker.
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