GraphQL schema design, resolvers, real-time subscriptions. Data queries without over-fetching.
I design GraphQL APIs with proper type definitions, resolvers, and middleware (authentication, authorization, logging). I implement real-time subscriptions via WebSocket and optimize for N+1 query problems and data fetching bottlenecks.
GraphQL schema with best practices (input types, unions, interfaces).
Real-time subscriptions for live data feeds (notifications, chats, dashboards).
Performance optimization (DataLoader, caching, query complexity analysis).
Automatic API documentation (introspection, GraphQL Playground).
Security layer (authentication, authorization, rate limiting).
We define entities, relationships, and queries with your client team.
We code resolvers with proper error handling and data loading strategies.
We implement caching, batching, and N+1 query prevention.
End-to-end testing and deployment to production servers.
No, they are complementary. GraphQL excels for mobile/slow network scenarios. REST is faster for simple queries.
GraphQL is not always faster—it depends on implementation. With DataLoader and proper caching it can be faster.
GraphQL Testing Library, Apollo MockedProvider, or a standard REST client. I recommend Apollo Client in development.
Initiate protocol. Establish connection. Let's build something loud.