backend-development
Build robust backend systems with modern technologies (Node.js, Python, Go, Rust), frameworks (NestJS, FastAPI, Django), databases (PostgreSQL, MongoDB, Redis), APIs (REST, GraphQL, gRPC), authentication (OAuth 2.1, JWT), testing strategies, security best practices (OWASP Top 10), performance optimization, scalability patterns (microservices, caching, sharding), DevOps practices (Docker, Kubernetes, CI/CD), and monitoring. Use when designing APIs, implementing authentication, optimizing database queries, setting up CI/CD pipelines, handling security vulnerabilities, building microservices, or developing production-ready backend systems.
When & Why to Use This Skill
This Claude skill provides a comprehensive framework for building robust, production-ready backend systems. It covers modern programming languages (Node.js, Python, Go, Rust), API design (REST, GraphQL, gRPC), database management, and advanced security practices. By integrating DevOps patterns and scalability strategies like microservices and caching, it helps developers create high-performance, secure, and maintainable server-side applications following 2025 industry standards.
Use Cases
- Designing and implementing secure, scalable API architectures using REST, GraphQL, or gRPC protocols.
- Building robust authentication and authorization systems utilizing OAuth 2.1, JWT, and RBAC patterns.
- Optimizing database performance through advanced schema design, indexing strategies, and Redis caching layers.
- Architecting and deploying containerized microservices using Docker, Kubernetes, and automated CI/CD pipelines.
- Mitigating security risks by implementing OWASP Top 10 best practices and modern encryption standards like Argon2id.
| name | backend-development |
|---|---|
| description | Build robust backend systems with modern technologies (Node.js, Python, Go, Rust), frameworks (NestJS, FastAPI, Django), databases (PostgreSQL, MongoDB, Redis), APIs (REST, GraphQL, gRPC), authentication (OAuth 2.1, JWT), testing strategies, security best practices (OWASP Top 10), performance optimization, scalability patterns (microservices, caching, sharding), DevOps practices (Docker, Kubernetes, CI/CD), and monitoring. Use when designing APIs, implementing authentication, optimizing database queries, setting up CI/CD pipelines, handling security vulnerabilities, building microservices, or developing production-ready backend systems. |
| license | MIT |
| version | 1.0.0 |
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, ORMsbackend-api-design.md- REST, GraphQL, gRPC patterns and best practices
Security & Authentication:
backend-security.md- OWASP Top 10 2025, security best practices, input validationbackend-authentication.md- OAuth 2.1, JWT, RBAC, MFA, session management
Performance & Architecture:
backend-performance.md- Caching, query optimization, load balancing, scalingbackend-architecture.md- Microservices, event-driven, CQRS, saga patterns
Quality & Operations:
backend-testing.md- Testing strategies, frameworks, tools, CI/CD testingbackend-code-quality.md- SOLID principles, design patterns, clean codebackend-devops.md- Docker, Kubernetes, deployment strategies, monitoringbackend-debugging.md- Debugging strategies, profiling, logging, production debuggingbackend-mindset.md- Problem-solving, architectural thinking, collaboration
Key Best Practices (2025)
Security: Argon2id passwords, parameterized queries (98% SQL injection reduction), OAuth 2.1 + PKCE, rate limiting, security headers
Performance: Redis caching (90% DB load reduction), database indexing (30% I/O reduction), CDN (50%+ latency cut), connection pooling
Testing: 70-20-10 pyramid (unit-integration-E2E), Vitest 50% faster than Jest, contract testing for microservices, 83% migrations fail without tests
DevOps: Blue-green/canary deployments, feature flags (90% fewer failures), Kubernetes 84% adoption, Prometheus/Grafana monitoring, OpenTelemetry tracing
Quick Decision Matrix
| Need | Choose |
|---|---|
| Fast development | Node.js + NestJS |
| Data/ML integration | Python + FastAPI |
| High concurrency | Go + Gin |
| Max performance | Rust + Axum |
| ACID transactions | PostgreSQL |
| Flexible schema | MongoDB |
| Caching | Redis |
| Internal services | gRPC |
| Public APIs | GraphQL/REST |
| Real-time events | Kafka |
Implementation Checklist
API: Choose style â Design schema â Validate input â Add auth â Rate limiting â Documentation â Error handling
Database: Choose DB â Design schema â Create indexes â Connection pooling â Migration strategy â Backup/restore â Test performance
Security: OWASP Top 10 â Parameterized queries â OAuth 2.1 + JWT â Security headers â Rate limiting â Input validation â Argon2id passwords
Testing: Unit 70% â Integration 20% â E2E 10% â Load tests â Migration tests â Contract tests (microservices)
Deployment: Docker â CI/CD â Blue-green/canary â Feature flags â Monitoring â Logging â Health checks
Resources
- OWASP Top 10: https://owasp.org/www-project-top-ten/
- OAuth 2.1: https://oauth.net/2.1/
- OpenTelemetry: https://opentelemetry.io/