backend-development

REST API design should use standardized endpoint schemas, RESTful conventions for resource naming, versioned routes, and consistent error response formats. This Skill provides templates for endpoint structure, HTTP method mapping, authentication flows with JWT, and error format standardization to ensure your API is predictable and maintainable.

Effective database schema design includes proper table structure, indexing strategies, UUID-based public IDs, soft deletes for data recovery, and migration patterns. This Skill offers standardized schema templates for SQL and NoSQL stores that enforce data integrity, support pagination, and align with backend architecture best practices.

JWT-based authentication with middleware, cache-aside patterns with invalidation strategies, and rate limiting are core backend components. This Skill provides production-ready patterns for securing endpoints, managing session state, reducing database load through intelligent caching, and protecting against abuse.

Yes. This Skill covers modular boundary patterns, API design, and database approaches applicable to both microservices and monolithic systems. The standardized templates adapt to your architecture choice while maintaining consistency in authentication, caching, observability, and endpoint design.

Backend observability requires structured logging, metrics instrumentation, distributed tracing, and health endpoints for monitoring system behavior. This Skill provides patterns for comprehensive observability implementation, helping you diagnose issues, track performance, and maintain visibility across API endpoints and services.

TDD-informed architecture ensures APIs and databases are designed with testability in mind from the start. This Skill incorporates test-driven approaches into architecture patterns, standardized schemas, and endpoint design so your backend is easier to validate, refactor, and maintain.