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backend-patterns

Provide backend architecture and API design patterns for Node.js, Express, and Next.js applications.

Updated Jun 22, 2026
Search Tags:#Node.js#Next.js#API design#backend architecture#Express#database optimization#server-side development
One-click install
npx skills add https://github.com/hector-manny/bussbot --skill backend-patterns-hector-manny
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: backend-patterns
Source: https://github.com/hector-manny/bussbot/tree/main/.cursor/.agents/skills/backend-patterns
Command: npx skills add https://github.com/hector-manny/bussbot --skill backend-patterns-hector-manny

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides guidance on backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes, helping developers build scalable and maintainable server-side applications.

Core Features & Use Cases

  • Backend Architecture Patterns: Offers best practices for designing backend architectures.
  • API Design: Provides guidance on RESTful API structure and design patterns.
  • Database Optimization: Offers techniques for optimizing database queries and preventing N+1 issues.
  • Caching Strategies: Discusses Redis caching and cache-aside patterns.
  • Error Handling: Explains centralized error handling and retry with exponential backoff patterns.
  • Authentication & Authorization: Covers JWT token validation and role-based access control.
  • Rate Limiting: Introduces a simple in-memory rate limiter.
  • Background Jobs & Queues: Describes a simple queue pattern for processing jobs.
  • Logging & Monitoring: Offers structured logging and monitoring best practices.
  • Use Case: A developer can use this Skill to design a RESTful API for a market data application, implementing patterns like the repository pattern and caching strategies to improve performance and maintainability.

Quick Start

Use the backend-patterns skill to apply backend architecture and API patterns to your server-side application.

Frequently Asked Questions about backend-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design a scalable backend architecture for Node.js and Express applications?▼

Scalable backend architecture for Node.js and Express applications uses established patterns like the repository pattern to decouple data access, centralizing business logic for maintainable server-side development.

What's the best way to prevent N+1 query issues during database optimization?▼

Preventing N+1 query issues during database optimization involves applying specific data access patterns to batch queries and eager load relationships, significantly reducing server-side latency.

How does centralized error handling with exponential backoff work in Next.js API routes?▼

Centralized error handling with exponential backoff in Next.js API routes captures server-side errors uniformly and retries transient failures with increasing delays, preventing cascading application failures.

Can I implement Redis cache-aside patterns and rate limiting in a Next.js API?▼

Yes, you can implement Redis cache-aside patterns and rate limiting in a Next.js API to cache read-heavy market data requests and protect server-side endpoints from excessive traffic loads.

Do I need prior server-side development experience to use these API design patterns?▼

Yes, applying these API design patterns requires existing knowledge of Node.js, Express, and Next.js server-side development to effectively implement architectures like role-based access control and background queues.

Why use the repository pattern instead of direct database queries in backend architecture?▼

Using the repository pattern instead of direct database queries in backend architecture abstracts data access layers, making your server-side code more testable, maintainable, and easier to optimize.

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