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Mastering GitHub Actions

You're reading from  Mastering GitHub Actions

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781805128625
Pages 490 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Eric Chapman Eric Chapman
Profile icon Eric Chapman

Table of Contents (22) Chapters

Preface 1. Part 1:Centralized Workflows to Assist with Governance
2. Chapter 1: An Overview of GitHub and GitHub Actions 3. Chapter 2: Exploring Workflows 4. Chapter 3: Deep Dive into Reusable Workflows and Composite Actions 5. Chapter 4: Workflow Personalization Using GitHub Apps 6. Chapter 5: Utilizing Starter Workflows in Your Team 7. Part 2: Implementing Advanced Patterns within Actions
8. Chapter 6: Using HashiCorp Vault in GitHub 9. Chapter 7: Deploying to Azure Using OpenID Connect 10. Chapter 8: Working with Checks 11. Chapter 9: Annotating Code with Actions 12. Chapter 10: Advancing with Event-Driven Workflows 13. Chapter 11: Setting Up Self-Hosted Runners 14. Part 3: Best Practices, Patterns, Tricks, and Tips Toolkit
15. Chapter 12: The Crawler Pattern 16. Chapter 13: The Configuration Centralization Pattern 17. Chapter 14: Using Remote Workflows to Kickstart Your Products 18. Chapter 15: Housekeeping Tips for Your Organization 19. Chapter 16: Handy Workflows for Managing Your Software 20. Index 21. Other Books You May Enjoy

Helpful AI actions and apps

GitHub regularly enhances its paid-for Copilot product with advanced AI features, some of which have been replicated in some parts as actions or apps in the Marketplace, which I’ll detail in this section. If you utilize Copilot, you’ll find that many of its functions offer immediate advantages without hefty implementation expenses. If you’re considering investing in their solutions, you may notice similarities between some product features and the Marketplace actions and applications I’ll discuss in this section.

For users managing public repositories, these features will gradually become available automatically or through opt-in mechanisms within GitHub. You might already be familiar with GitHub Copilot and its experimental counterpart, GitHub Next (previously known as Copilot X). These tools use AI to facilitate code generation within your IDE. One of the experimental features, for instance, automates the summarization of...

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