Does it address performance issues like the N+1 problem?

Yes, specifically within the GraphQL section, it provides patterns for using DataLoaders to batch and cache requests, preventing common performance bottlenecks.

Is this skill useful for reviewing existing code?

Absolutely. It can be used as a checklist or architectural guide during code reviews to ensure existing APIs follow best practices for usability and long-term maintainability.

Does it include code examples for specific frameworks?

While the principles are universal, it includes practical examples for Python frameworks like FastAPI and standard GraphQL schema definitions to demonstrate implementation.

How does this skill handle API versioning?

It covers multiple standard strategies including URL versioning, header-based versioning, and query parameter versioning to help you manage breaking changes effectively.

Can this skill help me choose between REST and GraphQL?

Yes, it provides design patterns and principles for both paradigms, helping you evaluate which architecture best suits your specific technical requirements and use cases.

API Design & Architecture

Name: API Design & Architecture
Author: Activer007

byActiver007

Desarrollo de API

Design, review, and implement professional REST and GraphQL APIs using industry-standard architectural patterns and best practices.

Acerca de

This skill empowers developers to build scalable, maintainable, and developer-friendly APIs by providing expert guidance on both RESTful and GraphQL architectures. It covers crucial design patterns including resource-oriented endpoints, schema-first GraphQL development, versioning strategies, complex pagination, and robust error handling. Whether you are starting a new backend project, refactoring legacy endpoints, or migrating between paradigms, this skill ensures your API remains intuitive and high-performing while preventing common pitfalls like the N+1 problem through DataLoaders.

Características Principales

Schema-first GraphQL type system and mutation development
Advanced pagination, filtering, and HATEOAS strategies
Standardized error handling and HTTP status code mappings
Performance optimization techniques including DataLoader implementation
0 GitHub stars
Comprehensive RESTful resource-oriented design patterns

Casos de Uso

Designing new scalable microservices and backend architectures
Establishing team-wide API design standards and developer documentation
Migrating existing REST APIs to GraphQL while maintaining best practices

Acerca de

Características Principales

Schema-first GraphQL type system and mutation development
Advanced pagination, filtering, and HATEOAS strategies
Standardized error handling and HTTP status code mappings
Performance optimization techniques including DataLoader implementation
0 GitHub stars
Comprehensive RESTful resource-oriented design patterns

Casos de Uso

Designing new scalable microservices and backend architectures
Establishing team-wide API design standards and developer documentation
Migrating existing REST APIs to GraphQL while maintaining best practices