Book Image

Refactoring with C#

By : Matt Eland
5 (1)
Book Image

Refactoring with C#

5 (1)
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 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)
Free Chapter
1
Part 1: Refactoring with C# in Visual Studio
7
Part 2: Refactoring Safely
13
Part 3: Advanced Refactoring with AI and Code Analysis
18
Part 4: Refactoring in the Enterprise

Understanding the limits of GitHub Copilot

By this point in the chapter, many readers are probably thinking “This is great, but can I actually use this in my job?” That’s a valid question, so let’s talk about the two common objections: privacy of source code and license concerns with public code.

Data privacy and GitHub Copilot

Many organizations considering GitHub Copilot are concerned that integrating an AI tool into their code editor means exposing their code to GitHub. Some also raise the potential that GitHub might even use the organization’s private code to generate new large language models in the future where these new models might generate code based on the organization’s proprietary logic.

These are valid concerns, and depending on which edition of GitHub Copilot you are using, there may be some basis for them.

With GitHub Copilot for Individuals, the prompts you send to GitHub Copilot, including surrounding code and Copilot...