nodejs-best-practices

Node.js Best Practices

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

When to Use

Use this skill when making Node.js architecture decisions, choosing frameworks, designing async patterns, or applying security and deployment best practices.

⚠️ 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

What are you building?
│
├── Edge/Serverless (Cloudflare, Vercel)
│   └── Hono (zero-dependency, ultra-fast cold starts)
│
├── High Performance API
│   └── Fastify (benchmark the actual workload)
│
├── 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

Selection Questions to Ask:

1. What's the deployment target?
2. Is cold start time critical?
3. Does team have existing experience?
4. Is there legacy code to maintain?

2. Runtime Considerations (2025)

Native TypeScript

Node.js TypeScript support depends on the exact runtime version and syntax; verify the installed release before using type stripping
├── Run .ts files directly
├── No build step needed for simple projects
└── Consider for: scripts, simple APIs

Module System Decision

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

3. Architecture Principles

Layered Structure Concept

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

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

Error Response Philosophy

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

5. Async Patterns Principles

When to Use Each

Event Loop Awareness

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

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

Validation Library Selection

Validation Philosophy

• Fail fast: Validate early
• Be specific: Clear error messages
• Don't trust: Even "internal" data

7. Security Principles

Security Checklist (Not Code)

• Input validation: All inputs validated
• Parameterized queries: No string concatenation for SQL
• Password hashing: bcrypt or argon2
• JWT verification: Always verify signature and expiry
• Rate limiting: Protect from abuse
• Security headers: Helmet.js or equivalent
• HTTPS: Everywhere in production
• CORS: Properly configured
• Secrets: Approved secret store or protected runtime injection; never source-control secrets
• Dependencies: Regularly audited

Security Mindset

Trust nothing:
├── Query params → validate
├── Request body → validate
├── Headers → verify
├── Cookies → validate
├── File uploads → scan
└── External APIs → validate response

8. Testing Principles

Test Strategy Selection

What to Test (Priorities)

1. Critical paths: Auth, payments, core business
2. Edge cases: Empty inputs, boundaries
3. Error handling: What happens when things fail?
4. Not worth testing: Framework code, trivial getters

Built-in Test Runner (Node.js 22+)

node --test src/**/*.test.ts
├── No external dependency
├── Good coverage reporting
└── Watch mode available

9. Anti-Patterns to Avoid

❌ DON'T:

• Use Express for new edge projects (use Hono)
• Use sync methods in production code
• Put business logic in controllers
• Skip input validation
• Hardcode secrets
• Trust external data without validation
• Block event loop with CPU work

✅ DO:

• Choose framework based on context
• Ask user for preferences when unclear
• Use layered architecture for growing projects
• Validate all inputs
• Use environment variables for secrets
• Profile before optimizing

10. Decision Checklist

Before implementing:

• Asked user about stack preference?
• Chosen framework for THIS context? (not just default)
• Considered deployment target?
• Planned error handling strategy?
• Identified validation points?
• Considered security requirements?

Remember: Node.js best practices are about decision-making, not memorizing patterns. Every project deserves fresh consideration based on its requirements.

Limitations

• Framework comparisons are qualitative and version/workload dependent. Examples are not benchmark evidence. Use explicit cancellation/deadlines for underlying I/O and redact secrets/PII from diagnostic context.
• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.