backend-zod

Runtime validation with TypeScript type inference happens through a single Zod schema definition. Define your schema once using z.object and related Zod patterns, then use z.infer<> to extract matching TypeScript types and safeParse to validate incoming data at runtime, eliminating type drift between validation and type definitions.

Yes. Zod schemas work seamlessly with react-hook-form to validate form data. Define your schema with Zod's built-in validators for strings, numbers, enums, and custom rules, then pass it to react-hook-form to handle client-side validation while maintaining the same schema for server-side API input validation.

Use Zod schemas to validate environment variables and configuration files by defining a schema matching your config structure, then call safeParse on the loaded data. This ensures configuration data meets expected types and constraints before your application uses it, catching misconfigurations early.

Zod supports cross-field validation through discriminated unions and refine methods. Build schemas that validate related fields together—such as checking that password and password confirmation match—ensuring complex business rules are enforced at the validation boundary.

Yes, this validation approach requires TypeScript 5.5 or later in strict mode to properly infer types from Zod schemas and ensure type safety across your API boundaries and runtime validation checks.

Call safeParse instead of parse to receive a result object containing either validated data or detailed error information. This non-throwing approach lets you handle validation failures gracefully, returning meaningful error messages to users without halting execution.