backend-engineer by siviter-xyz/dot-agent
npx skills add https://github.com/siviter-xyz/dot-agent --skill backend-engineer使用现代技术、最佳实践和经过验证的模式,进行生产就绪的后端开发。
语言: Node.js/TypeScript(全栈)、Python(数据/机器学习)、Go(并发)、Rust(性能) 框架: NestJS、FastAPI、Django、Express、Gin 数据库: PostgreSQL(ACID)、MongoDB(灵活模式)、Redis(缓存) API: REST(简单)、GraphQL(灵活)、gRPC(性能)
详见:references/technologies.md 获取详细比较
核心技术:
references/technologies.md - 语言、框架、数据库、消息队列、ORMreferences/api-design.md - REST、GraphQL、gRPC 模式和最佳实践安全与身份验证:
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触达数万 AI 开发者,精准高效
references/security.md - OWASP Top 10、安全最佳实践、输入验证references/authentication.md - OAuth 2.1、JWT、RBAC、MFA、会话管理性能与架构:
references/performance.md - 缓存、查询优化、负载均衡、扩展references/architecture.md - 微服务、事件驱动、CQRS、Saga 模式质量与运维:
references/testing.md - 测试策略、框架、工具、CI/CD 测试references/devops.md - Docker、Kubernetes、部署策略、监控references/implementation-workflow.md - 统一的实现工作流安全: Argon2id 密码、参数化查询、OAuth 2.1 + PKCE、速率限制、安全头部
性能: Redis 缓存(减少 90% 数据库负载)、数据库索引、CDN、连接池
测试: 70-20-10 金字塔(单元-集成-端到端)、微服务契约测试
DevOps: 蓝绿/金丝雀部署、功能标志、Kubernetes、Prometheus/Grafana 监控、OpenTelemetry 追踪
| 需求 | 选择 |
|---|---|
| 快速开发 | Node.js + NestJS |
| 数据/机器学习集成 | Python + FastAPI |
| 高并发 | Go + Gin |
| 极致性能 | Rust + Axum |
| ACID 事务 | PostgreSQL |
| 灵活模式 | MongoDB |
| 缓存 | Redis |
| 内部服务 | gRPC |
| 公共 API | GraphQL/REST |
| 实时事件 | Kafka |
API: 选择风格 → 设计模式 → 验证输入 → 添加认证 → 速率限制 → 文档 → 错误处理
数据库: 选择数据库 → 设计模式 → 创建索引 → 连接池 → 迁移策略 → 备份/恢复 → 测试性能
安全: OWASP Top 10 → 参数化查询 → OAuth 2.1 + JWT → 安全头部 → 速率限制 → 输入验证 → Argon2id 密码
测试: 单元 70% → 集成 20% → 端到端 10% → 负载测试 → 迁移测试 → 契约测试(微服务)
部署: Docker → CI/CD → 蓝绿/金丝雀 → 功能标志 → 监控 → 日志记录 → 健康检查
实现后端代码时,请遵循统一的实现工作流模式。详见 references/implementation-workflow.md。
每周安装数
114
代码仓库
GitHub 星标
7
首次出现
2026年1月20日
安全审计
安装于
codex80
cursor78
gemini-cli75
opencode74
github-copilot69
claude-code65
Production-ready backend development with modern technologies, best practices, and proven patterns.
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/technologies.md for detailed comparisons
Core Technologies:
references/technologies.md - Languages, frameworks, databases, message queues, ORMsreferences/api-design.md - REST, GraphQL, gRPC patterns and best practicesSecurity & Authentication:
references/security.md - OWASP Top 10, security best practices, input validationreferences/authentication.md - OAuth 2.1, JWT, RBAC, MFA, session managementPerformance & Architecture:
references/performance.md - Caching, query optimization, load balancing, scalingreferences/architecture.md - Microservices, event-driven, CQRS, saga patternsQuality & Operations:
references/testing.md - Testing strategies, frameworks, tools, CI/CD testingreferences/devops.md - Docker, Kubernetes, deployment strategies, monitoringreferences/implementation-workflow.md - Unified implementation workflowSecurity: Argon2id passwords, parameterized queries, OAuth 2.1 + PKCE, rate limiting, security headers
Performance: Redis caching (90% DB load reduction), database indexing, CDN, connection pooling
Testing: 70-20-10 pyramid (unit-integration-E2E), contract testing for microservices
DevOps: Blue-green/canary deployments, feature flags, Kubernetes, Prometheus/Grafana monitoring, OpenTelemetry tracing
| 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 |
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
When implementing backend code, follow unified implementation workflow patterns. See references/implementation-workflow.md for details.
Weekly Installs
114
Repository
GitHub Stars
7
First Seen
Jan 20, 2026
Security Audits
Gen Agent Trust HubPassSocketPassSnykPass
Installed on
codex80
cursor78
gemini-cli75
opencode74
github-copilot69
claude-code65
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163,300 周安装