What problem does it solve? Designing secure, scalable backend systems requires consistent patterns for API design, database integration, authentication, and microservices communication, which developers often rebuild from scratch for each project. ## Core Features & Use Cases - API Design Patterns: Build REST endpoints with FastAPI and Pydantic, GraphQL schemas with Strawberry, and gRPC services following OpenAPI 3.1 conventions. - Database Integration: Configure PostgreSQL with SQLAlchemy connection pooling, MongoDB with Motor async drivers, and Redis caching with TTL-based decorators. - Security & Microservices: Implement JWT authentication with bcrypt password hashing, Consul service discovery, and event-driven messaging with RabbitMQ. - Use Case: When building a new user management service, use this Skill to scaffold authenticated REST endpoints, pooled database connections, and cached query results following production patterns. ## Quick Start Ask the AI to create a FastAPI endpoint with JWT authentication and PostgreSQL integration using the backend development patterns.