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

Product type Paperback

Published in Oct 2024

Publisher Packt

ISBN-13 9781835467145

Length 422 pages

Edition 1st Edition

Languages

JavaScript

Tools

GraphQL

Concepts

Web Programming

Author (1):

Artur Czemiel

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Table of Contents (23) Chapters

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

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Summary

While we may not have built anything flashy such as an AI video generator or a face changer in this chapter, through different examples, we saw how AI can enhance our experience with GraphQL systems, providing capabilities such as mock generation, documentation generation, and AI automation using GraphQL APIs.

Beyond these, the possibilities are endless – you could create a model that provides suggestions to optimize a schema, or a model that detects potential threats in the schema, such as unauthorized access to data through improperly linked graph nodes. This collaboration between AI and GraphQL can streamline development processes and improve overall efficiency.

In the next chapter, we will learn about different schema design patterns.