GraphQL APIs, Designed for Flexibility

From unified data layers to real-time subscriptions, our AI-managed teams build production-grade GraphQL APIs with type safety and milestone-based delivery.

Technology: GraphQL (API Query Language)

GraphQL is a query language for APIs that gives clients the power to request exactly the data they need. Our teams use GraphQL to build flexible, efficient APIs that reduce over-fetching, simplify frontend development, and provide a strongly-typed contract between client and server. We implement GraphQL with Apollo Server, Pothos, and code-first schema generation.

What We Build

  • GraphQL API Backends: Type-safe GraphQL APIs with authentication, authorization, pagination, and real-time subscriptions for web and mobile applications.
  • BFF (Backend for Frontend) Layers: GraphQL aggregation layers that unify multiple REST APIs, microservices, and databases into a single, client-friendly API.
  • Real-Time Data APIs: GraphQL Subscriptions for live data updates — chat messages, notifications, dashboard metrics, and collaborative editing.

Expertise

  • GraphQL APIs Delivered: 70+
  • Schema Design Approach: Code-first with Pothos or Nexus
  • Average Query Response: Under 80ms
  • Tooling: Apollo Server, Apollo Client, Codegen

Sample Projects

  • Unified Commerce API: GraphQL API that aggregates product catalog, inventory, orders, and customer data from multiple microservices into a single schema. (300 hours)
    • Schema stitching across 5 microservices
    • DataLoader for N+1 query prevention
    • Cursor-based pagination
    • Field-level authorization with custom directives
  • Social Platform API: GraphQL API for a social application with user profiles, posts, comments, likes, and real-time notifications via subscriptions. (280 hours)
    • GraphQL Subscriptions for real-time notifications
    • File upload via GraphQL multipart requests
    • Rate limiting per query complexity
    • Auto-generated TypeScript types with GraphQL Codegen

Frequently Asked Questions

When should I use GraphQL over REST?
Use GraphQL when you have multiple clients (web, mobile, third-party) with different data needs, when you want to reduce over-fetching, or when you need real-time subscriptions. REST is simpler for straightforward CRUD APIs with consistent data shapes.
Does GraphQL have performance issues?
Not when implemented correctly. We use DataLoader to prevent N+1 queries, query complexity analysis to prevent abuse, persisted queries for caching, and proper database indexing. Our GraphQL APIs consistently respond in under 80ms.
Do you use Apollo or another GraphQL server?
We primarily use Apollo Server with Pothos for code-first schema generation. For simpler projects, we use graphql-yoga. All implementations include playground, introspection controls, and auto-generated TypeScript types.