Why TypeScript?
TypeScript catches entire categories of bugs at compile time — null reference errors, wrong function argument types, missing object fields. It also dramatically improves IDE autocomplete, making you faster even on codebases you've never seen before.
Generics
Generics let you write reusable functions and types without losing type safety:
function first<T>(arr: T[]): T | undefined {
return arr[0];
}
const num = first([1, 2, 3]); // type: number | undefined
const str = first(['a', 'b']); // type: string | undefined
Utility Types
TypeScript ships with powerful built-in utility types:
Partial<T>— makes all fields optional (great for PATCH endpoints)Pick<T, K>— selects specific fieldsOmit<T, K>— removes specific fieldsRecord<K, V>— creates a key-value map typeReturnType<F>— infers the return type of a function
Discriminated Unions
This pattern is perfect for modeling API responses, state machines, or any "one of these shapes" scenario:
type ApiResult<T> =
| { status: 'success'; data: T }
| { status: 'error'; message: string };
function handleResult<T>(result: ApiResult<T>) {
if (result.status === 'success') {
console.log(result.data); // TypeScript knows data exists here
} else {
console.error(result.message); // And message exists here
}
}
Zod for Runtime Validation
TypeScript types disappear at runtime. Use Zod to validate incoming API request bodies and get TypeScript types for free:
import { z } from 'zod';
const ContactSchema = z.object({
name: z.string().min(2),
email: z.string().email(),
message: z.string().optional(),
});
type ContactInput = z.infer<typeof ContactSchema>;
Conclusion
Investing time in TypeScript pays off exponentially. Start with the basics, adopt utility types and generics gradually, and your codebase will become dramatically more maintainable over time.