What problem does it solve?
Provide clear architecture patterns and practical techniques to design, implement, and operate scalable backend services, reduce bugs from inconsistent data access, and improve API performance and reliability.
Core Features & Use Cases
- API Design & Routing: Resource-oriented REST patterns and recommendations for Node.js, Express, and Next.js API routes to make endpoints predictable and maintainable.
- Layered Architecture: Repository, Service, and Controller separation to simplify testing and enable data-source switching.
- Database & Performance: Techniques for query optimization, preventing N+1 queries, using transactions, and employing cache-aside patterns with Redis to improve latency.
- Resilience & Safety: Centralized error handling, exponential backoff retries, rate limiting, structured logging, JWT authentication, and role-based access control for production-readiness.
- Use Case: Implement a markets API that performs vector-enhanced search, fetches full records via a repository layer, caches hot reads, validates input, and enforces RBAC.
Quick Start
Create an Express API endpoint to list markets with pagination using a Repository layer, add Redis cache-aside for reads, validate input, and require JWT authentication.