Question 1

How to validate API responses with Zod in TypeScript?

Accepted Answer

Define a Zod schema matching the expected API response structure, then use the .parse() or .safeParse() method to validate fetched data. This ensures type safety and catches runtime errors, with detailed messages for mismatches.

Question 2

Zod vs Joi: which is better for Node.js APIs?

Accepted Answer

Zod excels in TypeScript projects with automatic type inference and a modern API, while Joi has a longer history and broader ecosystem in JavaScript. Choose Zod if TypeScript integration is key, Joi for legacy or pure JavaScript setups.

Question 3

How to handle nested objects and arrays in Zod schemas?

Accepted Answer

Use Zod's object() and array() methods to define nested structures, with chainable validators for each field. For example, z.object({ users: z.array(z.object({ name: z.string() })) }) creates a type-safe schema for complex data.

Question 4

Can Zod be used with React forms for validation?

Accepted Answer

Yes, integrate Zod with React form libraries like React Hook Form by passing Zod schemas as validation rules. This provides type-safe form handling and real-time error feedback based on Zod's validation.

Question 5

What's the performance impact of Zod in production apps?

Accepted Answer

Zod is optimized but adds runtime overhead; for most apps, it's negligible, but in high-performance scenarios, consider caching validations or using it sparingly. Benchmark with your data loads to assess impact.

Question 6

How to generate TypeScript types from Zod schemas automatically?

Accepted Answer

Use Zod's built-in type inference: define a schema with z.object(), then use z.infer<typeof schema> to get the TypeScript type. This keeps types and validation in sync without manual duplication.

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