REST, GraphQL, and API Design: A Pragmatic Overview

Every product eventually exposes an API. Whether you call it REST, RPC, or GraphQL, the hard parts are naming, versioning, consistency, and how clients fetch exactly what they need without turning your backend into spaghetti.

REST in one breath

Model your domain as resources with stable URLs. Use HTTP methods meaningfully: GET for reads, POST for creates, PATCH for partial updates. Lean on standard status codes and pagination cursors. REST shines when your clients map cleanly to CRUD and you want aggressive HTTP caching.

Where GraphQL helps

GraphQL lets clients describe a tree of data in one round trip. That reduces over-fetching for mobile apps and dashboards with many joins. The cost is server complexity: resolvers, N+1 query risks, and careful limits on query depth and cost.

Common design mistakes

• Leaky abstractions — exposing raw database rows without a domain layer.
• Inconsistent errors — every endpoint inventing its own error shape.
• Implicit versioning — breaking mobile clients without a migration path.

Pragmatic guidance

Public APIs and partner integrations often stay REST for simplicity. Internal BFFs and complex UIs sometimes adopt GraphQL. You can also mix: REST for writes, a thin GraphQL layer for reads, or vice versa—just document the boundary and monitor performance.

Bottom line

Choose the shape that matches how your clients think about the product, then invest in observability, rate limits, and schema discipline. The label on the tin matters less than whether integrators can predict your behaviour.