# TypeScript Best Practices for Large-Scale Applications
Building large-scale applications requires careful planning and adherence to best practices. TypeScript provides powerful tools to help maintain code quality as your application grows.
## Type Safety First
Always prefer explicit types over `any`:
```typescript
// Bad
function processData(data: any) {
return data.map((item: any) => item.value);
}
// Good
interface DataItem {
value: string;
id: number;
}
function processData(data: DataItem[]) {
return data.map(item => item.value);
}
```
## Utility Types
Leverage TypeScript's built-in utility types:
```typescript
interface User {
id: number;
name: string;
email: string;
password: string;
}
// Omit sensitive fields
type PublicUser = Omit
// Make all fields optional
type PartialUser = Partial
// Make all fields readonly
type ImmutableUser = Readonly
```
## Generic Constraints
Use generic constraints to create flexible, type-safe functions:
```typescript
function getProperty
return obj[key];
}
const user = { name: 'John', age: 30 };
const name = getProperty(user, 'name'); // Type: string
```
## Discriminated Unions
Use discriminated unions for type-safe state management:
```typescript
type LoadingState =
| { status: 'idle' }
| { status: 'loading' }
| { status: 'success'; data: string }
| { status: 'error'; error: Error };
function handleState(state: LoadingState) {
switch (state.status) {
case 'idle':
return 'Not started';
case 'loading':
return 'Loading...';
case 'success':
return state.data; // TypeScript knows data exists
case 'error':
return state.error.message; // TypeScript knows error exists
}
}
```
## Strict Configuration
Enable strict mode in your `tsconfig.json`:
```json
{
"compilerOptions": {
"strict": true,
"noImplicitAny": true,
"strictNullChecks": true,
"strictFunctionTypes": true
}
}
```
## Conclusion
Following these best practices will help you build more maintainable and reliable TypeScript applications. Remember, the goal is to leverage TypeScript's type system to catch errors early and improve code quality.