Node.js Best Practices

Principles and decision-making for Node.js development in 2025. Learn to THINK, not memorize code patterns.

⚠️ How to Use This Skill

This skill teaches decision-making principles, not fixed code to copy.

•ASK user for preferences when unclear
•Choose framework/pattern based on CONTEXT
•Don't default to same solution every time

1. Framework Selection (2025)

Decision Tree

code

What are you building?
│
├── Edge/Serverless (Cloudflare, Vercel)
│   └── Hono (zero-dependency, ultra-fast cold starts)
│
├── High Performance API
│   └── Fastify (2-3x faster than Express)
│
├── Enterprise/Team familiarity
│   └── NestJS (structured, DI, decorators)
│
├── Legacy/Stable/Maximum ecosystem
│   └── Express (mature, most middleware)
│
└── Full-stack with frontend
    └── Next.js API Routes or tRPC

Comparison Principles

Factor	Hono	Fastify	Express
Best for	Edge, serverless	Performance	Legacy, learning
Cold start	Fastest	Fast	Moderate
Ecosystem	Growing	Good	Largest
TypeScript	Native	Excellent	Good
Learning curve	Low	Medium	Low

Selection Questions to Ask:

•What's the deployment target?
•Is cold start time critical?
•Does team have existing experience?
•Is there legacy code to maintain?

2. Runtime Considerations (2025)

Native TypeScript

code

Node.js 22+: --experimental-strip-types
├── Run .ts files directly
├── No build step needed for simple projects
└── Consider for: scripts, simple APIs

Module System Decision

code

ESM (import/export)
├── Modern standard
├── Better tree-shaking
├── Async module loading
└── Use for: new projects

CommonJS (require)
├── Legacy compatibility
├── More npm packages support
└── Use for: existing codebases, some edge cases

Runtime Selection

Runtime	Best For
Node.js	General purpose, largest ecosystem
Bun	Performance, built-in bundler
Deno	Security-first, built-in TypeScript

3. Architecture Principles

Layered Structure Concept

code

Request Flow:
│
├── Controller/Route Layer
│   ├── Handles HTTP specifics
│   ├── Input validation at boundary
│   └── Calls service layer
│
├── Service Layer
│   ├── Business logic
│   ├── Framework-agnostic
│   └── Calls repository layer
│
└── Repository Layer
    ├── Data access only
    ├── Database queries
    └── ORM interactions

Why This Matters:

•Testability: Mock layers independently
•Flexibility: Swap database without touching business logic
•Clarity: Each layer has single responsibility

When to Simplify:

•Small scripts → Single file OK
•Prototypes → Less structure acceptable
•Always ask: "Will this grow?"

4. Error Handling Principles

Centralized Error Handling

code

Pattern:
├── Create custom error classes
├── Throw from any layer
├── Catch at top level (middleware)
└── Format consistent response

Error Response Philosophy

code

Client gets:
├── Appropriate HTTP status
├── Error code for programmatic handling
├── User-friendly message
└── NO internal details (security!)

Logs get:
├── Full stack trace
├── Request context
├── User ID (if applicable)
└── Timestamp

Status Code Selection

Situation	Status	When
Bad input	400	Client sent invalid data
No auth	401	Missing or invalid credentials
No permission	403	Valid auth, but not allowed
Not found	404	Resource doesn't exist
Conflict	409	Duplicate or state conflict
Validation	422	Schema valid but business rules fail
Server error	500	Our fault, log everything

5. Async Patterns Principles

When to Use Each

Pattern	Use When
`async/await`	Sequential async operations
`Promise.all`	Parallel independent operations
`Promise.allSettled`	Parallel where some can fail
`Promise.race`	Timeout or first response wins

Event Loop Awareness

code

I/O-bound (async helps):
├── Database queries
├── HTTP requests
├── File system
└── Network operations

CPU-bound (async doesn't help):
├── Crypto operations
├── Image processing
├── Complex calculations
└── → Use worker threads or offload

Avoiding Event Loop Blocking

•Never use sync methods in production (fs.readFileSync, etc.)
•Offload CPU-intensive work
•Use streaming for large data

6. Validation Principles

Validate at Boundaries

code

Where to validate:
├── API entry point (request body/params)
├── Before database operations
├── External data (API responses, file uploads)
└── Environment variables (startup)

Validation Library Selection

Library	Best For
Zod	TypeScript first, inference
Valibot	Smaller bundle (tree-shakeable)
ArkType	Performance critical
Yup	Exist