Lead
TypeScript adoption is at an all-time high, but most teams struggle with the same scaling problems: slow builds, type errors in production, and codebases that become harder to maintain over time. Here's what actually works for large projects.
Problem
TypeScript projects start simple but complexity grows exponentially:
- Build times - Large codebases take minutes to compile
- Type complexity - Overly clever types that no one understands
- Configuration drift - Inconsistent setups across projects
Steps
1. Project Structure That Scales
src/
├── types/ # Shared type definitions
│ ├── api.ts # API response types
│ ├── domain.ts # Business domain types
│ └── utils.ts # Utility types
├── lib/ # Utility functions
├── components/ # React components
└── services/ # API and external services
// types/domain.ts
export interface User {
readonly id: string
readonly email: string
readonly profile: UserProfile
readonly createdAt: Date
readonly updatedAt: Date
}
// Use branded types for IDs to prevent mixing
export type UserId = string & { readonly __brand: 'UserId' }
export type PostId = string & { readonly __brand: 'PostId' }
2. Strict TypeScript Configuration
{
"compilerOptions": {
"strict": true,
"noUncheckedIndexedAccess": true,
"exactOptionalPropertyTypes": true,
"noImplicitReturns": true,
// Path mapping for cleaner imports
"baseUrl": ".",
"paths": {
"@/*": ["src/*"],
"@/types/*": ["src/types/*"]
},
// Performance optimizations
"incremental": true,
"tsBuildInfoFile": ".tsbuildinfo"
}
}
Takeaways
Configuration Essentials:
- Start with
strict: truefrom day one - Use
noUncheckedIndexedAccessto catch array access bugs - Enable path mapping for cleaner imports
Performance Tips:
- Enable incremental compilation
- Use project references for monorepos
- Consider using SWC or esbuild for compilation
Warning: TypeScript should make your code more maintainable, not more complex. If types are hard to understand, simplify them.
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