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GraphQL API Design Guide

GraphQL API Design Guide

Production GraphQL APIs for Google Antigravity IDE

GraphQLAPIBackendFull Stack
by Antigravity AI
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.antigravity
# GraphQL API Design Guide for Google Antigravity

Master GraphQL API development with Google Antigravity IDE. This comprehensive guide covers schema design, resolvers, dataloaders, subscriptions, authentication, and performance optimization patterns for building flexible, efficient APIs.

## Configuration

Configure your Antigravity environment for GraphQL:

```typescript
// .antigravity/graphql.ts
export const graphqlConfig = {
  features: {
    subscriptions: true,
    dataloaders: true,
    federation: false,
    persisted: true
  },
  security: {
    depthLimit: 10,
    complexityLimit: 1000
  }
};
```

## Schema Design

Define type-safe schemas:

```typescript
import { gql } from "graphql-tag";

export const typeDefs = gql`
  scalar DateTime

  type Query {
    user(id: ID!): User
    users(filter: UserFilter, pagination: PaginationInput): UserConnection!
    post(id: ID!): Post
    posts(filter: PostFilter): [Post!]!
  }

  type Mutation {
    createUser(input: CreateUserInput!): CreateUserPayload!
    updateUser(id: ID!, input: UpdateUserInput!): UpdateUserPayload!
    createPost(input: CreatePostInput!): CreatePostPayload!
  }

  type User {
    id: ID!
    email: String!
    name: String
    posts(first: Int, after: String): PostConnection!
    createdAt: DateTime!
  }

  type Post {
    id: ID!
    title: String!
    content: String
    published: Boolean!
    author: User!
    createdAt: DateTime!
  }

  input CreateUserInput {
    email: String!
    name: String
    password: String!
  }

  type CreateUserPayload {
    user: User
    errors: [Error!]
  }

  type Error {
    field: String
    message: String!
  }
`;
```

## DataLoader Pattern

Batch and cache requests:

```typescript
import DataLoader from "dataloader";
import { db } from "../db";

export function createLoaders() {
  return {
    userById: new DataLoader<string, User>(async (ids) => {
      const users = await db.user.findMany({
        where: { id: { in: [...ids] } }
      });

      const userMap = new Map(users.map(u => [u.id, u]));
      return ids.map(id => userMap.get(id) || null);
    }),

    postsByAuthor: new DataLoader(async (keys) => {
      const authorIds = keys.map(k => k.authorId);

      const posts = await db.post.findMany({
        where: { authorId: { in: authorIds } },
        orderBy: { createdAt: "desc" }
      });

      const postsByAuthor = new Map<string, Post[]>();
      posts.forEach(post => {
        const existing = postsByAuthor.get(post.authorId) || [];
        postsByAuthor.set(post.authorId, [...existing, post]);
      });

      return keys.map(key => postsByAuthor.get(key.authorId) || []);
    })
  };
}
```

## Best Practices

Follow these guidelines for GraphQL:

1. **Use DataLoaders** - Batch and cache requests
2. **Implement pagination** - Cursor-based for large sets
3. **Design mutations carefully** - Return payloads with errors
4. **Add query complexity** - Prevent expensive queries
5. **Use persisted queries** - Improve security and caching
6. **Type everything** - Full TypeScript coverage

Google Antigravity IDE provides intelligent GraphQL schema suggestions and resolver optimization.

When to Use This Prompt

This GraphQL prompt is ideal for developers working on:

  • GraphQL applications requiring modern best practices and optimal performance
  • Projects that need production-ready GraphQL code with proper error handling
  • Teams looking to standardize their graphql development workflow
  • Developers wanting to learn industry-standard GraphQL patterns and techniques

By using this prompt, you can save hours of manual coding and ensure best practices are followed from the start. It's particularly valuable for teams looking to maintain consistency across their graphql implementations.

How to Use

  1. Copy the prompt - Click the copy button above to copy the entire prompt to your clipboard
  2. Paste into your AI assistant - Use with Claude, ChatGPT, Cursor, or any AI coding tool
  3. Customize as needed - Adjust the prompt based on your specific requirements
  4. Review the output - Always review generated code for security and correctness
💡 Pro Tip: For best results, provide context about your project structure and any specific constraints or preferences you have.

Best Practices

  • ✓ Always review generated code for security vulnerabilities before deploying
  • ✓ Test the GraphQL code in a development environment first
  • ✓ Customize the prompt output to match your project's coding standards
  • ✓ Keep your AI assistant's context window in mind for complex requirements
  • ✓ Version control your prompts alongside your code for reproducibility

Frequently Asked Questions

Can I use this GraphQL prompt commercially?

Yes! All prompts on Antigravity AI Directory are free to use for both personal and commercial projects. No attribution required, though it's always appreciated.

Which AI assistants work best with this prompt?

This prompt works excellently with Claude, ChatGPT, Cursor, GitHub Copilot, and other modern AI coding assistants. For best results, use models with large context windows.

How do I customize this prompt for my specific needs?

You can modify the prompt by adding specific requirements, constraints, or preferences. For GraphQL projects, consider mentioning your framework version, coding style, and any specific libraries you're using.

Related Prompts

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