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backend-development

@vodailocz · 收录于 今天 · 上游提交 1 周前

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.

场景后端开发接口联调系统部署性能调优

适合你，如果你需要从零搭建或优化一个可靠的后端服务

/ 下载安装
https://github.com/vodailocz/kilo-kit-mcp/tree/main/skills/engineering/backend-development ↗
/ 通过 npx 安装 校验哈希
npx oh-my-skill add vodailocz/kilo-kit-mcp/backend-development
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- vodailocz/kilo-kit-mcp/backend-development
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify vodailocz/kilo-kit-mcp/backend-development
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

技能原文 SKILL.md作者撰写 · Apache-2.0 · c5e4d76

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)

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 → Design schema → Validate input → Add auth → Rate limiting → Documentation → Error handling

Database: Choose DB → Design schema → Create indexes → Connection pooling → Migration strategy → Backup/restore → Test performance

Security: OWASP Top 10 → Parameterized queries → OAuth 2.1 + JWT → Security headers → Rate limiting → Input validation → Argon2id passwords

Testing: Unit 70% → Integration 20% → E2E 10% → Load tests → Migration tests → Contract tests (microservices)

Deployment: Docker → CI/CD → Blue-green/canary → Feature flags → Monitoring → Logging → 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/
按 Apache-2.0 许可原样转载,未经改动 · 在 GitHub 查看 →

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