backend-dev

To scaffold a REST and GraphQL backend API, apply a controller-service-repository structure with DTO-based validation, OAuth2 authentication, and automated endpoint documentation generation for secure, scalable microservices and monoliths.

Structuring backend API endpoints for scalable microservices requires a controller-service-repository pattern, DTO-based validation, centralized error handling, and logging to ensure maintainable separation of concerns across services.

Yes, DTO-based validation and OAuth2 secure authentication work for both REST and GraphQL endpoints. This approach standardizes data validation and secure user authorization across different API architectures within the same backend service.

Generating API documentation for REST and GraphQL microservices is automated during the API design phase, exposing endpoint schemas, DTO validation rules, and secure authentication requirements for well-documented services.

Apply design patterns for backend API development across monoliths and microservices when you need secure authentication, scalable data models, and well-documented endpoints to maintain consistent software engineering workflows and robust service architecture.

A backend API needs a controller-service-repository structure and error handling to separate routing, business logic, and data access layers, ensuring scalable data models, consistent logging, and maintainable API endpoints across microservices.