You're reading from Tools and Skills for .NET 8 Get the career you want with good practices and patterns to design, debug, and test your solutions 

Product type Paperback

Published in Jul 2024

Publisher Packt

ISBN-13 9781837635207

Length 778 pages

Edition 1st Edition

Languages

Tools

.NET

Concepts

Cloud Native

Author (1):

Mark J. Price

View More author details

Table of Contents (22) Chapters

Preface

1. Introducing Tools and Skills for .NET

2. Making the Most of the Tools in Your Code Editor FREE CHAPTER

3. Source Code Management Using Git

4. Debugging and Memory Troubleshooting

5. Logging, Tracing, and Metrics for Observability

6. Documenting Your Code, APIs, and Services

7. Observing and Modifying Code Execution Dynamically

8. Protecting Data and Apps Using Cryptography

9. Building an LLM-Based Chat Service

10. Dependency Injection, Containers, and Service Lifetime

11. Unit Testing and Mocking

12. Integration and Security Testing

13. Benchmarking Performance, Load, and Stress Testing

14. Functional and End-to-End Testing of Websites and Services

15. Containerization Using Docker

16. Cloud-Native Development Using .NET Aspire

17. Design Patterns and Principles

18. Software and Solution Architecture Foundations

19. Your Career, Teamwork, and Interviews

20. Epilogue

21. Index

Creating source generators

Source generators were introduced with C# 9 and .NET 5. They allow a programmer to get a compilation object that represents all the code being compiled, then dynamically generate additional code files, and compile those too.

A source generator is like a code analyzer that can add more code to the compilation process. In scenarios where you cannot use reflection to generate code, for example, if you also want to use native AOT compilation, then you can use source generators instead.

A great example is the System.Text.Json source generator. The classic method for serializing JSON uses reflection at runtime to dynamically analyze an object model, but this is slow. The better method uses source generators to create source code that is then compiled to give improved performance.

You can read more about the System.Text.Json source generator at the following link: https://devblogs.microsoft.com/dotnet/try-the-new-system-text-json-source-generator...