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Refactoring with C#

Refactoring with C#

By : Matt Eland
5 (9)
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Refactoring with C#

Refactoring with C#

5 (9)
By: Matt Eland

Overview of this book

Software projects start as brand-new greenfield projects, but invariably become muddied in technical debt far sooner than you’d expect. In Refactoring with C#, you'll explore what technical debt is and how it arises before walking through the process of safely refactoring C# code using modern tooling in Visual Studio and more recent C# language features using C# 12 and .NET 8. This book, written by a Microsoft MVP, will guide you through the process of refactoring safely through advanced unit testing with XUnit and libraries like Moq, Snapper, and Scientist .NET. You'll explore maintainable code through SOLID principles and defensive coding techniques made possible in newer versions of C#. You'll also find out how to run code analysis and write custom Roslyn analyzers to detect and resolve issues unique to your code. The nature of coding is changing, and you'll explore how to use AI with the GitHub Copilot Chat to refactor, test, document, and generate code before ending with a discussion about communicating technical debt to leadership and getting organizational buy-in to refactor your code in enterprise organizations and in agile teams. By the end of this book, you'll understand the nature of refactoring and see how you can safely, effectively, and repeatably pay down the technical debt in your application while adding value to your business.
Table of Contents (24 chapters)
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Part 1: Refactoring with C# in Visual Studio
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Part 2: Refactoring Safely
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Part 3: Advanced Refactoring with AI and Code Analysis
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Part 4: Refactoring in the Enterprise
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Index
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Introducing GitHub Copilot

In 2021, GitHub announced a new artificial intelligence tool called GitHub Copilot. GitHub Copilot is an editor extension that integrates into different editors including JetBrains Rider, VS Code, and all editions of Visual Studio 2022.

What GitHub Copilot does is it looks at the code you just typed and generates predictions for the code it thinks you’re about to type. If it has a prediction and you are not currently typing, GitHub Copilot displays the prediction in grey text in front of your cursor for you to evaluate and possibly add to your code, as shown in Figure 11.1:

Figure 11.1 – GitHub Copilot suggesting code to add as the developer types

Figure 11.1 – GitHub Copilot suggesting code to add as the developer types

Copilot does this by using a predictive machine learning model that has been trained on various pieces of code in many different programming languages, including C#, F#, JavaScript, and SQL.

Understanding GitHub’s predictive model

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