backend-coding

SKILL.md

Build production-ready backend services with proper architecture, security, performance optimization, and testing.

Never trust user input - Validate everything Use parameterized queries - Prevent SQL injection Hash passwords - bcrypt with cost factor 12+, never store plain text Expire tokens quickly - 15min access tokens, 7day refresh tokens Use HTTPS only - TLS 1.3 minimum

Cache frequently accessed data - Redis with appropriate TTL (typically 1 hour) Use database indexes - On all query columns Paginate large result sets - Max 100 items per page Use connection pooling - 10-20 connections Async operations for I/O - Don't block the event loop

Expert backend development guidance covering Node.js, Python, Java, Go, API design (REST/GraphQL/gRPC), database patterns, authentication, caching, message queues, microservices, and testing. Produces production-ready, scalable, and secure backend code with industry best practices. Use when building APIs, implementing business logic, designing data models, integrating services, or when users mention backend development, server-side code, APIs, databases, or microservices. Source: dauquangthanh/hanoi-rainbow.

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