typescript-rules-backend

name	typescript-rules-backend
description	This skill provides backend TypeScript development rules including functions-over-classes design, NestJS/TypeORM patterns, layered error handling, streaming, and memory management. Automatically loaded when implementing backend TypeScript services, APIs, or when "NestJS", "backend TypeScript", "API service", "TypeORM", or "server-side TypeScript" are mentioned.

TypeScript Development Rules (Backend)

Basic Principles

• Functions Over Classes: Prefer pure functions and function composition. Use classes only when the framework requires it (NestJS controllers/services, TypeORM entities)
• YAGNI Principle: Don't implement until necessary — no speculative abstractions
• Aggressive Refactoring: Prevent technical debt; delete unused code immediately

Comment Writing Rules

• Function Description Focus: Describe what the code "does"
• No Historical Information: Do not record development history
• Timeless: Write only content that remains valid whenever read
• Conciseness: Keep explanations to necessary minimum

Type Safety

Absolute Rule: any type is completely prohibited. It disables type checking and becomes a source of runtime errors.

any Type Alternatives (Priority Order)

1. unknown Type + Type Guards: Use for validating external input (API request bodies, environment variables, message queue payloads)
2. Generics: When type flexibility is needed across services
3. Union Types / Intersection Types: Combinations of multiple types
4. Type Assertions (Last Resort): Only when type is certain and documented

Type Guard Implementation Pattern

function isCreateUserDto(value: unknown): value is CreateUserDto {
  return typeof value === 'object' && value !== null && 'email' in value && 'name' in value
}

Modern Type Features

• satisfies Operator: const config = { port: 3000 } satisfies AppConfig — Preserves inference
• const Assertion: const ROLES = ['admin', 'user', 'viewer'] as const — Immutable and type-safe
• Branded Types: type UserId = string & { __brand: 'UserId' } — Distinguish domain identifiers
• Template Literal Types: type EventName = \on${Capitalize}`` — Express string patterns with types

Type Safety in Backend Implementation

• API Request Bodies: Always receive as unknown, validate with Zod/class-validator before processing
• Environment Variables: Treat as unknown, validate at startup — fail fast on missing required values
• Database Query Results: Trust ORM type mappings; validate raw query results
• Message Queue Payloads: Treat as unknown, validate with schema before processing
• Configuration Files: Validate at application startup, not at usage sites

Type Safety in Data Flow

• Client → Server: Request body (unknown) → Validation (Zod/class-validator) → DTO (Type Guaranteed) → Service
• Server → Database: DTO → Entity mapping → ORM (Type Guaranteed) → Database
• Database → Server: Query result (ORM typed) → Response DTO → Serialization → Client

Type Complexity Management

• DTO Design: Keep DTOs flat; max 2 levels of nesting. Split complex DTOs into composition
• Generic Services: Max 3 type parameters. If more needed, reconsider design
• Type Assertions: Review design if used 3+ times in a module

Coding Conventions

Function Design

• Functions Over Classes: Default to exported functions for business logic
• 0-2 parameters maximum: Use object for 3+ parameters

  // ✅ Object parameter
  function createUser({ name, email, role }: CreateUserParams): Promise<User> {}
  

• Pure Functions: Minimize side effects; isolate I/O at boundaries
• Single Responsibility: One function does one thing

NestJS Patterns (when using NestJS)

• Controllers: Thin — validate input, call service, return response. No business logic
• Services: Business logic lives here. Inject repositories, not raw database connections
• Repositories: Data access layer. Custom repository methods for complex queries
• Modules: Feature-based module organization. Avoid circular dependencies
• Guards/Interceptors/Pipes: Cross-cutting concerns — auth, logging, validation, transformation

// ✅ Thin controller — delegates to service
@Controller('users')
export class UserController {
  constructor(private readonly userService: UserService) {}

  @Post()
  create(@Body() dto: CreateUserDto): Promise<UserResponseDto> {
    return this.userService.create(dto)
  }
}

TypeORM Patterns (when using TypeORM)

• Entities: Define with decorators. Use strict column types matching database schema
• Migrations: Always use migrations for schema changes. Never use synchronize: true in production
• Query Builder: Prefer repository methods. Use QueryBuilder only for complex joins/aggregations
• Relations: Define as lazy or eager explicitly. Avoid N+1 queries

Dependency Injection

• Constructor Injection: Standard pattern for NestJS services
• Factory Functions: For non-NestJS modules, use factory functions that accept dependencies as parameters

Asynchronous Processing

• Promise Handling: Always use async/await
• Concurrent Operations: Use Promise.all() for independent operations, Promise.allSettled() when partial failure is acceptable
• Stream Processing: Use Node.js streams for large data sets (files, DB result sets)

Environment Variables

• Validate at startup: Fail fast if required variables are missing
• Centralize configuration: Single config module/service that validates and exports typed config
• Never access process.env directly in business logic — always go through config layer

// ✅ Centralized, validated config
const config = {
  port: parseInt(process.env.PORT || '3000', 10),
  dbUrl: requiredEnv('DATABASE_URL'),
  redisUrl: process.env.REDIS_URL || 'redis://localhost:6379',
} satisfies AppConfig

function requiredEnv(key: string): string {
  const value = process.env[key]
  if (!value) throw new Error(`Missing required environment variable: ${key}`)
  return value
}

Security

• Input Validation: Validate all external input at API boundary (controllers/middleware)
• SQL Injection: Use parameterized queries — never concatenate user input into queries
• Secret Management: Never log secrets. Use environment variables, not hardcoded values
• Rate Limiting: Apply to public endpoints. Use guards/middleware, not service logic
• Authentication/Authorization: Implement as guards, not inline checks in controllers

Format Rules

• Semicolon omission (follow project linter settings)
• Types in PascalCase, variables/functions in camelCase
• Use path aliases for imports (@/, @app/, etc.)

Clean Code Principles

• Delete unused code immediately
• Delete debug console.log()
• No commented-out code (manage history with version control)
• Comments explain "why" (not "what")

Error Handling

Absolute Rule: Error suppression prohibited. All errors must have log output and appropriate handling.

Layered Error Handling (Backend)

Three distinct layers, each with specific responsibilities:

1. API Layer (Controllers/Middleware)

   • Catch service errors, map to HTTP status codes
   • Return consistent error response format
   • Log request context (method, path, user ID)

2. Service Layer (Business Logic)

   • Throw domain-specific errors (ValidationError, NotFoundError, ConflictError)
   • Include context in error messages (what was being done, with what data)
   • Never catch and suppress — either handle or propagate

3. Repository Layer (Data Access)

   • Convert database errors to domain errors
   • Handle connection failures, deadlocks, constraint violations
   • Retry transient failures (connection drops, deadlocks) with backoff

// ✅ Layered error handling
// Repository layer
async findById(id: string): Promise<User> {
  const user = await this.repository.findOne({ where: { id } })
  if (!user) throw new NotFoundError(`User not found: ${id}`)
  return user
}

// Service layer
async updateUser(id: string, dto: UpdateUserDto): Promise<User> {
  const user = await this.userRepository.findById(id) // Throws NotFoundError
  Object.assign(user, dto)
  return this.userRepository.save(user)
}

// Controller layer (NestJS exception filter handles mapping)
@Put(':id')
async update(@Param('id') id: string, @Body() dto: UpdateUserDto): Promise<UserResponseDto> {
  return this.userService.updateUser(id, dto)
}

Fail-Fast Principle: Fail quickly on errors to prevent continued processing in invalid states

// ✅ Required: Explicit failure
catch (error) {
  logger.error('Processing failed', { error, context })
  throw error
}

Custom Error Classes

export class AppError extends Error {
  constructor(message: string, public readonly code: string, public readonly statusCode = 500) {
    super(message)
    this.name = this.constructor.name
  }
}
// Purpose-specific: ValidationError(400), NotFoundError(404), ConflictError(409), ApiError(502)

Structured Logging

• Use structured logger (pino, winston) — not console.log
• Include correlation IDs for request tracing
• Never log sensitive information (passwords, tokens, API keys, PII)

Streaming and Memory Management

Stream Processing

• Use Node.js streams for processing files, large database result sets, and bulk operations
• Prefer pipeline() over .pipe() for proper error handling and cleanup

import { pipeline } from 'stream/promises'

// ✅ Stream large file processing
await pipeline(
  createReadStream('input.csv'),
  new CsvParser(),
  new TransformStream(),
  createWriteStream('output.json'),
)

Memory Leak Prevention

• Clean up event listeners in service shutdown hooks (onModuleDestroy)
• Use WeakMap/WeakRef for caches that should not prevent garbage collection
• Set explicit timeouts on all external connections (HTTP, DB, Redis)
• Monitor memory usage in production; set container memory limits

Refactoring Techniques

Basic Policy

• Small Steps: Maintain always-working state through gradual improvements
• Safe Changes: Minimize the scope of changes at once
• Behavior Guarantee: Ensure existing behavior remains unchanged while proceeding

Implementation Procedure: Understand Current State → Gradual Changes → Behavior Verification → Final Validation

Priority: Duplicate Code Removal > Large Function Division > Complex Conditional Branch Simplification > Type Safety Improvement

Performance Optimization

• Database Queries: Use indexes, avoid N+1 queries, paginate large result sets
• Caching: Apply at service layer — Redis for shared state, in-memory for single-instance
• Connection Pooling: Configure appropriate pool sizes for database and Redis connections
• Lazy Loading: Load expensive resources on demand, not at startup
• Batch Processing: Process bulk operations in batches to control memory usage