Backend Development Skill

Production-ready backend development with modern technologies, best practices, and proven patterns.

When to Use

• Designing RESTful, GraphQL, or gRPC APIs
• Building authentication/authorization systems
• Optimizing database queries and schemas
• Implementing caching and performance optimization
• OWASP Top 10 security mitigation
• Designing scalable microservices
• Testing strategies (unit, integration, E2E)
• CI/CD pipelines and deployment
• Monitoring and debugging production systems

Technology Selection Guide

Languages: Node.js/TypeScript (full-stack), Python (data/ML), Go (concurrency), Rust (performance) Frameworks: NestJS, FastAPI, Django, Express, Gin Databases: PostgreSQL (ACID), MongoDB (flexible schema), Redis (caching) APIs: REST (simple), GraphQL (flexible), gRPC (performance)

See: references/backend-technologies.md for detailed comparisons

Reference Navigation

Core Technologies:

• backend-technologies.md - Languages, frameworks, databases, message queues, ORMs
• backend-api-design.md - REST, GraphQL, gRPC patterns and best practices

Security & Authentication:

• backend-security.md - OWASP Top 10 2025, security best practices, input validation
• backend-authentication.md - OAuth 2.1, JWT, RBAC, MFA, session management

Performance & Architecture:

• backend-performance.md - Caching, query optimization, load balancing, scaling
• backend-architecture.md - Microservices, event-driven, CQRS, saga patterns

Quality & Operations:

• backend-testing.md - Testing strategies, frameworks, tools, CI/CD testing
• backend-code-quality.md - SOLID principles, design patterns, clean code
• backend-devops.md - Docker, Kubernetes, deployment strategies, monitoring
• backend-debugging.md - Debugging strategies, profiling, logging, production debugging
• backend-mindset.md - Problem-solving, architectural thinking, collaboration

Key Best Practices (2025)