Design and implement GraphQL APIs with schema design, resolvers, queries, mutations, subscriptions, and best practices. Use when building GraphQL servers, designing schemas, or migrating from REST to GraphQL.

GraphQL Implementation Table of Contents [Overview]( overview) [When to Use]( when to use) [Quick Start]( quick start) [Reference Guides]( reference guides) [Best Practices]( best practices) Overview Implement GraphQL APIs with proper schema design, resolver patterns, error handling, and performance optimization for flexible client server communication. When to Use Designing new GraphQL APIs Creating GraphQL schemas and types Implementing resolvers and mutations Adding subscriptions for real time data Migrating from REST to GraphQL Optimizing GraphQL performance Quick Start Minimal working example: Reference Guides Detailed implementations in the references/ directory: Guide Contents [GraphQL Schema Design](references/graphql schema design.md) GraphQL Schema Design [Node.js Apollo Server Implementation](references/nodejs apollo server implementation.md) Node.js Apollo Server Implementation [Python GraphQL Implementation (Graphene)](references/python graphql implementation graphene.md) Python GraphQL Implementation (Graphene) [Query Examples](references/query examples.md) Query Examples [Error Handling](references/error handling.md) Error Handling Best Practices ✅ DO Use clear, descriptive field names Design schemas around client needs Implement proper error handling Use input types for mutations Add subscriptions for real time data Cache resolvers efficiently Validate input data Use federation for scalability ❌ DON'T Over nest queries deeply Expose internal database IDs Return sensitive data without authorization Create overly complex schemas Forget to handle null values Ignore N+1 query problems Skip error messages

graphql-implementation