api-design-principles

Designing REST API endpoints for scalability requires shaping resource-oriented conventions, applying correct HTTP methods, standardizing status codes, and implementing robust pagination and filtering for clean public interfaces.

Avoiding N+1 query problems during GraphQL schema design involves defining efficient types, queries, mutations, and subscriptions, while applying proper pagination patterns to prevent nested data fetching inefficiencies.

An API specification review checklist for production readiness should validate endpoint structure, error formats, authentication documentation, versioning conventions, and implementation checks against team standards before deployment.

Standardizing error handling and versioning across a customer-facing API involves defining consistent error formats, documenting authentication methods, and applying resource-oriented conventions to validate the design before implementation.

Generating a production-ready FastAPI service from an OpenAPI schema design is supported by applying the Skill's templates, playbooks, and implementation checks to standardize team conventions and evaluate the API specification.

Choosing REST over GraphQL for API architecture depends on whether resource-oriented endpoints, standard HTTP methods, and simple filtering suffice, versus needing complex GraphQL queries, mutations, and subscription patterns.