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Zod Validation Complete Guide

Zod Validation Complete Guide

Implement robust data validation with Zod schemas

zodvalidationtypescriptforms
by antigravity-team
⭐0Stars
.antigravity
# Zod Validation Complete Guide for Google Antigravity

Build type-safe validation with Zod schemas using Google Antigravity IDE.

## Basic Schema Definitions

```typescript
// lib/validations/user.ts
import { z } from "zod";

// String validations
export const emailSchema = z.string()
  .email("Invalid email address")
  .toLowerCase()
  .trim();

export const passwordSchema = z.string()
  .min(8, "Password must be at least 8 characters")
  .max(100, "Password is too long")
  .regex(/[A-Z]/, "Must contain uppercase letter")
  .regex(/[a-z]/, "Must contain lowercase letter")
  .regex(/[0-9]/, "Must contain number");

// Object schemas
export const userSchema = z.object({
  id: z.string().uuid(),
  email: emailSchema,
  name: z.string().min(1).max(100),
  bio: z.string().max(500).optional(),
  role: z.enum(["admin", "user", "moderator"]).default("user"),
  createdAt: z.date(),
  updatedAt: z.date()
});

// Create/Update schemas
export const createUserSchema = userSchema.omit({
  id: true,
  createdAt: true,
  updatedAt: true
}).extend({
  password: passwordSchema,
  confirmPassword: z.string()
}).refine((data) => data.password === data.confirmPassword, {
  message: "Passwords do not match",
  path: ["confirmPassword"]
});

// Types from schemas
export type User = z.infer<typeof userSchema>;
export type CreateUserInput = z.infer<typeof createUserSchema>;
```

## Complex Validation Patterns

```typescript
// Discriminated unions
export const paymentMethodSchema = z.discriminatedUnion("type", [
  z.object({
    type: z.literal("card"),
    cardNumber: z.string().regex(/^\d{16}$/),
    expiryMonth: z.number().min(1).max(12),
    expiryYear: z.number().min(new Date().getFullYear()),
    cvv: z.string().regex(/^\d{3,4}$/)
  }),
  z.object({
    type: z.literal("bank"),
    accountNumber: z.string().min(10).max(17),
    routingNumber: z.string().length(9)
  }),
  z.object({
    type: z.literal("paypal"),
    email: z.string().email()
  })
]);

// Transform and preprocess
export const searchParamsSchema = z.object({
  page: z.coerce.number().positive().default(1),
  limit: z.coerce.number().positive().max(100).default(20),
  sort: z.enum(["newest", "oldest", "popular"]).default("newest"),
  tags: z.preprocess(
    (val) => (typeof val === "string" ? val.split(",") : val),
    z.array(z.string()).optional()
  )
});
```

## Form Integration

```typescript
// components/forms/UserForm.tsx
"use client";

import { useForm } from "react-hook-form";
import { zodResolver } from "@hookform/resolvers/zod";
import { createUserSchema, type CreateUserInput } from "@/lib/validations/user";

export function UserForm({ onSubmit }: { onSubmit: (data: CreateUserInput) => Promise<void> }) {
  const { register, handleSubmit, formState: { errors, isSubmitting } } = useForm<CreateUserInput>({
    resolver: zodResolver(createUserSchema)
  });

  return (
    <form onSubmit={handleSubmit(onSubmit)}>
      <input {...register("email")} placeholder="Email" />
      {errors.email && <span>{errors.email.message}</span>}
      
      <input type="password" {...register("password")} />
      {errors.password && <span>{errors.password.message}</span>}
      
      <button type="submit" disabled={isSubmitting}>Create</button>
    </form>
  );
}
```

## Best Practices

1. **Create reusable schemas** for common fields
2. **Use discriminated unions** for variant types
3. **Implement refinements** for cross-field validation
4. **Export inferred types** alongside schemas
5. **Use transform** for data normalization
6. **Provide clear error messages**
7. **Validate at API boundaries**

Google Antigravity helps generate Zod schemas from TypeScript types and database schemas.

When to Use This Prompt

This zod prompt is ideal for developers working on:

  • zod applications requiring modern best practices and optimal performance
  • Projects that need production-ready zod code with proper error handling
  • Teams looking to standardize their zod development workflow
  • Developers wanting to learn industry-standard zod patterns and techniques

By using this prompt, you can save hours of manual coding and ensure best practices are followed from the start. It's particularly valuable for teams looking to maintain consistency across their zod implementations.

How to Use

  1. Copy the prompt - Click the copy button above to copy the entire prompt to your clipboard
  2. Paste into your AI assistant - Use with Claude, ChatGPT, Cursor, or any AI coding tool
  3. Customize as needed - Adjust the prompt based on your specific requirements
  4. Review the output - Always review generated code for security and correctness
💡 Pro Tip: For best results, provide context about your project structure and any specific constraints or preferences you have.

Best Practices

  • ✓ Always review generated code for security vulnerabilities before deploying
  • ✓ Test the zod code in a development environment first
  • ✓ Customize the prompt output to match your project's coding standards
  • ✓ Keep your AI assistant's context window in mind for complex requirements
  • ✓ Version control your prompts alongside your code for reproducibility

Frequently Asked Questions

Can I use this zod prompt commercially?

Yes! All prompts on Antigravity AI Directory are free to use for both personal and commercial projects. No attribution required, though it's always appreciated.

Which AI assistants work best with this prompt?

This prompt works excellently with Claude, ChatGPT, Cursor, GitHub Copilot, and other modern AI coding assistants. For best results, use models with large context windows.

How do I customize this prompt for my specific needs?

You can modify the prompt by adding specific requirements, constraints, or preferences. For zod projects, consider mentioning your framework version, coding style, and any specific libraries you're using.

Related Prompts

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