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GraphQL Best Practices

GraphQL Best Practices

By : Artur Czemiel
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GraphQL Best Practices

GraphQL Best Practices

By: Artur Czemiel

Overview of this book

In the ever-evolving landscape of web development, GraphQL has emerged as a powerful query language that addresses the limitations of traditional REST APIs. This guide delves deep into GraphQL, starting with its foundational principles and swiftly advancing to complex topics that will equip you with the skills you need to understand this technology. As you progress, you’ll cover advanced concepts such as schema design, security enhancements, and error handling. You'll also explore essential topics such as federation and the transition from REST to GraphQL, gaining a comprehensive understanding of these critical areas. The book helps you learn through practical examples in TypeScript, guiding you through building scalable and secure GraphQL backends. Additionally, you’ll get up to speed with the intricacies of frontend integration. By the end of this book, you’ll have the skills you need to implement real-world GraphQL solutions, creating efficient and robust applications that meet modern web development demands.
Table of Contents (23 chapters)
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Free Chapter
1
Part 1 - Why GraphQL?
4
Part 2 - Schema-First Design Patterns
7
Part 3 - Exploring Possible Ways to Use GraphQL
11
Part 4 - Advanced GraphQL
18
Part 5 - From an Idea to a Working Project

Creating whole schemas with AI

What can be surprising is that GraphQL schemas work immediately in GPT systems. They already have a basic knowledge of GraphQL and REST, so they are able to generate definitions for different programming languages.

Let’s create a small system to build a GraphQL Schema. Here is the system message that we will use:

You are a GraphQL Schema Builder.

That’s all it takes for the LLM interface to understand what we mean. Of course, we can change the model or use fine-tune it, but for now, this will suffice.

Now let’s focus on the prompt. Imagine that we are visionary clients creating a new weather application. This service should provide essential weather data. In this case, the prompt may look like this:

A schema for a weather service including city, date, temperature, wind, rain, and humidity data.

These are the basic pieces of information provided by the client. To understand whether the data inside our prompt is adequate...

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