api-design

Choosing between REST and GraphQL depends on your project needs like data fetching patterns and client flexibility. This API strategy guidance evaluates trade-offs in resource modeling and schema design to help you select the right approach for scalable microservices.

Designing consistent error handling requires establishing a standardized error contract across your services. This Skill provides patterns for creating predictable error formats and HTTP semantic responses, ensuring robust API design and clear client communication during failures.

API versioning and pagination best practices focus on evolvability and predictable data retrieval. This Skill covers effective versioning strategies to manage breaking changes and pagination patterns to handle large datasets without compromising API consistency.

Modeling resources and using HTTP methods correctly involves applying standard semantics to ensure predictable interactions. This Skill outlines REST resource modeling principles and proper HTTP method usage to build user-friendly and scalable endpoints.

Yes, you can use this API design guidance to review existing APIs and establish team standards. The principles covering consistency, predictability, and evolvability are applicable to both new API development and auditing current endpoints for compliance.