api-design-principles

Schema-first design uses a strongly-typed API schema to guide implementation, fostering consistency across REST and GraphQL APIs. This approach reduces ambiguity and rework by establishing clear client contracts before development begins.

To prevent N+1 query problems in GraphQL APIs, apply data loaders and batching patterns. This technique groups multiple individual data requests into a single batched query, avoiding inefficient data access patterns.

The best way to implement API versioning and error handling is to apply standardized patterns for reliable, evolvable APIs. Use consistent error handling and clear versioning strategies to maintain client contracts across production environments.

Yes, this approach works with FastAPI and Pydantic for REST endpoint development. You can apply these API design principles and practical patterns to FastAPI projects to enforce schema-first design and consistent error handling.

Establish API standards for a team by applying documented practical patterns for REST endpoints, GraphQL schemas, and mutation strategies. Review existing specs against these principles to improve usability, performance, and maintainability.