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Practical C# Projects with .NET

Practical C# Projects with .NET

By : Matt Eland
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Practical C# Projects with .NET

Practical C# Projects with .NET

By: Matt Eland

Overview of this book

Too many C# developers feel stuck building the same apps day in and day out, but learning through side projects can reignite your passion and level up your skills. This book offers a practical, hands-on approach to building confidence with .NET 10 and modern C# by building a variety of engaging applications, from interactive games and productivity tools to machine learning apps and browser-based chatbots. These projects are designed to teach practical patterns and modern tooling, with a focus on learning and experimentation over production hardening. You'll work with tools like Spectre.Console, ML.NET, Uno Platform, and more, developing everything from an adventure game and a card tracker to an AI chatbot. You’ll also build modern AI-enabled systems using Ollama, Microsoft Agent Framework, OpenTelemetry, and Aspire. Written by an experienced C# engineer and teacher, this book blends technical depth with a developer-friendly tone, helping you learn faster and retain more. You'll sharpen your understanding of core .NET capabilities and gain confidence to apply them in your own work or hobby projects. By the end of this book, you'll not only have a portfolio of practical .NET apps - you’ll also have grown as a developer and rediscovered the joy of programming. *Email sign-up and proof of purchase required
Table of Contents (21 chapters)
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Lock Free Chapter
1
Part 1: Building Console Applications
6
Part 2: Web, Mobile, and Desktop Applications
10
Part 3: Building AI-powered side projects
15
Part 4: Cross-platform Game Development with MonoGame
20
Index

10

Building and Monitoring a Model Context Protocol Server with Aspire

Over the last few chapters, we've explored how conversational AI systems work and how advanced tooling like Microsoft Agent Framework, tools, and vector similarity search help you build rich AI-enabled applications. Using C#, you can write custom tools that can integrate into your AI applications and extend their capabilities.

In this chapter, we'll take the same concept of defining custom tools that AI systems can call, but look at connecting these skills to a Model Context Protocol (MCP) server, where both development tools and AI applications can make use of your tool definitions.

Additionally, because complex AI systems can be hard to monitor, we'll look at using Aspire and OpenTelemetry to instrument and monitor the performance of AI systems.

By the time we're done, you'll have a good understanding of the capabilities that MCP servers offer, how to run an MCP server...

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