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Refactoring huge C# code base in minutes

With my team, we like to keep our C# code base updated. So, recently we went to .NET 7 and C# 11. At the same time, we were still adopting some of the new capabilities of .NET 6 and C# 10. Our code...

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Debugging Dapr applications with Rider or Visual Studio: A better way

Dapr is an impressive set of APIs for building distributed applications with any language and platform. It provides a set of building blocks that you can use to build microservices. Dapr is based on...

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.NET 7 SDK built-in container improvements

Are you looking for a fast and easy way to create and run .NET applications using Docker containers without writing any Dockerfile? If so, you will be glad to know that Microsoft has introduced a new...

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Simplify your .NET Docker image publishing workflow with the .NET SDK

In my previous blog posts, I wrote about the built-in container support in the .NET 7 SDK that allows you to create and publish Docker images for your .NET applications without writing any Dockerfile....

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Publish .NET Docker images using .NET SDK and GitHub Actions

My previous blog posts talks about built-in container support in the .NET SDK. It allows you to create and publish Docker images for your .NET applications without writing any Dockerfile. I also showed...

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What's new in C# 12

C# 12 is the latest, just released, version of the popular programming language that runs on the .NET 8 platform. It introduces several new features that aim to improve the expressiveness, performance,...

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Run Phi-3 SLM on your machine with C# Semantic Kernel and Ollama

Microsoft recently unveiled Phi-3, the latest iteration of their Small Language Model (SLM). And hot on its heels is Ollama, a powerful tool that enables you to run SLMs and LLMs right on your own...

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Learning AI function calling in C# with Llama 3.2 SLM and Ollama running on...

I’ve been trying to wrap my head around function/tool calling for a while now, and I’m excited to share what I’ve learned with you. It’s a powerful way to let developers integrate advanced AI features...

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Leveraging Microsoft.Extensions.AI for Tool Calling in C#

In the previous post “Learning AI function calling in C# with Llama 3.2 SLM and Ollama running on your machine“, we wrapped our head around the concept of tool calling and implemented a C# source...

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Harnessing DeepSeek-R1 distilled model with .NET Aspire and Ollama locally

In my earlier posts, I’ve demonstrated how to install Ollama using the Windows installer. However, for developers, there’s a more streamlined method to set up Ollama on your machine.In this blog post,...

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Building Local AI Agents: Semantic Kernel and Ollama in C#

The recent release of Microsoft’s Semantic Kernel Agents Framework RC1 provides an excellent opportunity to explore its capabilities with C#. In this post, we’ll walk through creating a simple agent...

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Building Local AI Agents: Semantic Kernel Agent with Functions in C# using...

In my previous post, we saw how to build the simplest Semantic Kernel local AI agent using Semantic Kernel and Ollama in C#. In this short post, we will see how simple it is to extend the capabilities...

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.NET Aspire and Dev Container

.NET Aspire 9.1 was just released on February 25th, 2025. It comes with great new dashboard features, and there is more! One feature I am particularly interested in is the ability to use Dev...

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Harnessing AI in C# with Microsoft.Extensions.AI, Ollama, and MCP Server

In the previous post "Leveraging Microsoft.Extensions.AI for Tool Calling in C#", we explored how to create custom tools that enhance the capabilities of Large Language Models (LLMs). We demonstrated...

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Model Context Protocol Made Easy: Building an MCP Server in C#

In my previous post, I demonstrated how to use C# with Microsoft.Extensions.AI, Ollama, and a nuget package called mcpdotnet to interact with an existing MCP Server. Since then, mcpdotnet has been...

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Dockerizing your .NET C# MCP Server for AI Clients like Claude Desktop

My previous post showed how easy it is to develop a .NET C# MCP server and write a client able to communicate with it. Now, the question is how we can distribute our MCP server to be used by AI...

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SSE-Powered MCP Server with C# and .NET in 15.7MB executable

Now that we've explored how to leverage Model Context Protocol (MCP) servers to utilize external Tools and AI models in C# applications, how to write your own Standard Input/Output (STDIO) MCP server...

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