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GraphQL Best Practices

You're reading from   GraphQL Best Practices Gain hands-on experience with schema design, security, and error handling

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Product type Paperback
Published in Oct 2024
Publisher Packt
ISBN-13 9781835467145
Length 422 pages
Edition 1st Edition
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Author (1):
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Artur Czemiel Artur Czemiel
Author Profile Icon Artur Czemiel
Artur Czemiel
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Table of Contents (23) Chapters Close

Preface 1. Part 1 - Why GraphQL?
2. Chapter 1: Unveiling the Holy Grail of Communication – GraphQL FREE CHAPTER 3. Chapter 2: Applying an AI-Friendly Approach to GraphQL 4. Part 2 - Schema-First Design Patterns
5. Chapter 3: Crafting Effective GraphQL Schemas 6. Chapter 4: Building Pipes 7. Part 3 - Exploring Possible Ways to Use GraphQL
8. Chapter 5: Transitioning from REST to GraphQL 9. Chapter 6: Defining GraphQL Transformers 10. Chapter 7: Understanding GraphQL Federation 11. Part 4 - Advanced GraphQL
12. Chapter 8: Executing Schema-First Systems 13. Chapter 9: Working on the Frontend with GraphQL 14. Chapter 10: Keeping Data Secure 15. Chapter 11: Describing Errors in GraphQL 16. Chapter 12: Documenting your Schema 17. Chapter 13: Tackling Schemas with Visualization 18. Part 5 - From an Idea to a Working Project
19. Chapter 14: From an Idea to a Working Project – Backend Development with GraphQL and TypeScript 20. Chapter 15: From an Idea to a Working Project – Frontend Integration with GraphQL and TypeScript 21. Index 22. Other Books You May Enjoy

Applying an AI-Friendly Approach to GraphQL

Today, Artificial Intelligence (AI) has dominated the world. We use AI to search the internet and find answers to the most pressing questions. We can use it to create virtual assistants for various purposes and generate beautiful images. The whole world is captivated by this technology.

However, what does this have to do with GraphQL, you ask? Well, a lot. GraphQL is a language that was designed to facilitate communication within programming teams, and as it turns out, it also excels at improving human-computer communication.

In this chapter, we will learn how to leverage AI to accelerate our work with GraphQL schema-based systems. After reading this chapter and adding AI tools to your arsenal, you will undoubtedly work much faster with GraphQL.

In this chapter, we will cover the following topics:

  • Understanding GraphQL AI friendliness
  • Navigating the OpenAI playground
  • Generating documentation
  • Generating real-life...
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