Does it support authentication?

Yes, it includes specific implementation guides for AWS Cognito token validation and managing user state within the GraphQL context.

What is the benefit of the 'Payload' pattern for mutations?

The Payload pattern allows mutations to return both the modified data and a structured list of errors, providing a more robust experience for frontend developers compared to throwing generic errors.

Can I use this with databases other than PostgreSQL?

Since it uses Prisma, these patterns work across any database Prisma supports, including MySQL, SQL Server, and MongoDB.

Is this compatible with Apollo Server 4?

Yes, the patterns follow modern Apollo Server and Express integration standards, including the latest context and resolver signatures.

How does this skill prevent the N+1 query problem?

It provides standardized patterns for implementing DataLoaders in the context layer, allowing the API to batch and cache multiple database requests into a single query.

Web GraphQL API Design

Name: Web GraphQL API Design
Author: AlexanderStephenThompson

byAlexanderStephenThompson

API Development

Implements high-performance, type-safe GraphQL APIs using Apollo Server, Express, and Prisma best practices.

About

This skill provides a comprehensive framework for building production-grade GraphQL APIs using the Apollo Server and Prisma stack. It emphasizes a schema-first approach to ensure the API meets client needs while maintaining architectural integrity through thin resolvers and service-layer delegation. By incorporating advanced patterns like DataLoader for N+1 prevention, cursor-based pagination, and structured error handling, this skill helps developers build scalable backends that are easy to maintain and consume. It also includes practical implementations for AWS Cognito authentication and end-to-end type safety.

Key Features

Automated N+1 query prevention using DataLoader batching logic
0 GitHub stars
Service-layer orchestration with thin resolvers for better maintainability
Standardized cursor-based pagination and structured error payload patterns
Schema-first design patterns for client-focused API development
Integrated AWS Cognito JWT validation and context-based authorization

Use Cases

Architecting a scalable backend for e-commerce platforms with complex data relations
Optimizing GraphQL performance by refactoring resolvers to use DataLoaders
Implementing a type-safe API layer on top of a Prisma-managed relational database

About

Key Features

Automated N+1 query prevention using DataLoader batching logic
0 GitHub stars
Service-layer orchestration with thin resolvers for better maintainability
Standardized cursor-based pagination and structured error payload patterns
Schema-first design patterns for client-focused API development
Integrated AWS Cognito JWT validation and context-based authorization

Use Cases

Architecting a scalable backend for e-commerce platforms with complex data relations
Optimizing GraphQL performance by refactoring resolvers to use DataLoaders
Implementing a type-safe API layer on top of a Prisma-managed relational database