DhiWise vs v0.dev by Vercel: Comparing AI Code Generation Tools

This comparison of DhiWise vs v0.dev by Vercel shows their different uses. DhiWise builds full-stack web and mobile apps from prompts or designs. Vercel's v0.dev focuses on generating front-end UI components with React and TailwindCSS for mockups.

Building apps has become faster than ever, but knowing which AI-powered tool fits your workflow can still feel overwhelming. You're probably here because you're looking for more than just surface-level comparisons between DhiWise’s Rocket.new against v0.dev by Vercel for vibe coding. You want to know which one fits your tech stack, delivers functional code, and helps you get more done, without writing the same thing twice.

This blog breaks it down. From design-to-code workflows to real code generation for full-stack apps, you'll get a clear view of how each tool handles the development process. Whether you're a solo maker, a startup dev, or someone tired of repetitive programming tasks, you're in the right place.

Who are these AI tools made for?

DhiWise’s Rocket is a generative AI app builder made for all kinds of developers—experienced coders, product designers, or non-tech founders. You type your idea, import your Figma file, and watch it turn into production-ready code for web and mobile apps.

v0.dev by Vercel mainly serves frontend developers who want quick UI mockups from simple prompts. It shines for prototyping but doesn’t handle backend, database, or deployment logic, just like rapid prototyping.

Bullet list of user types for each:

Rocket by DhiWise

• Full-stack developers

• Product managers

• UI/UX designers

• Early-stage founders

v0.dev by Vercel

• Frontend engineers

• Designers needing static UIs

• Teams on Vercel-hosted projects

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What problem are they solving?

Many developers waste hours repeating the same coding tasks, managing files, or gluing components together. AI tools aim to eliminate repetitive tasks, but not all tools solve the same problem.

Rocket solves this by offering complete AI-powered code generation, from prompt or design to fully working applications. That includes backend logic, UI generation, API calls, and deployment.

v0.dev focuses on frontend mockups. It generates TailwindCSS and React code but does not include the backend, auth, data layers, or API logic.

What’s the difference in features?

Here’s a quick comparison to help you see what each tool supports:

This table clarifies the depth and scope of features. Rocket’s support for full-stack workflows and backend logic makes it more than just a code generator - it’s a real AI-powered tool for building web and mobile applications.

What does the development process look like?

Rocket.new takes you from a simple sentence to a deployed app in minutes. The AI assistant handles everything: generating layout, backend logic, API connection, and clean UI code. You can add your logo and screenshots and swap images without touching the code.

v0.dev skips these deeper workflows. It’s fast for one-off components or static page generation, but won’t handle databases or user flows.

Here’s a quick 5-step Rocket workflow:

1. Enter the prompt or import Figma

2. Choose web or mobile output

3. Connect APIs or the database if needed

4. Customize components visually

5. Deploy or export code to GitHub

Also read: Deploy on Vercel

Diagram: How Rocket works vs v0.dev

Explanation: Rocket handles everything from layout to backend with built-in AI. v0.dev, on the other hand, stops at UI generation. That extra manual effort slows your development workflow unless you build static pages.

Code Example: AI-Generated Code in Rocket

Here’s what the generated code looks like in Rocket for a simple React login form:

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import React from 'react';

const Login = () => {
  return (
    <div className="flex flex-col items-center justify-center h-screen bg-gray-100">
      <input type="email" placeholder="Email" className="input" />
      <input type="password" placeholder="Password" className="input" />
      <button className="btn-primary">Login</button>
    </div>
  );
};

export default Login;

Explanation: This code is AI generated based on a Figma design or prompt. It follows TailwindCSS standards, includes layout logic, and can be extended with API calls in Rocket’s visual flow builder.

How does Rocket maintain code quality?

Unlike tools that dump code and leave the cleanup to you, Rocket’s AI system applies DRY principles, reusable components, and consistent class naming. It makes maintaining your entire codebase more organized over time.

It also avoids hardcoded values, supports third-party seamless integration like Google Analytics and Stripe, and ensures the code is ready for production - not just presentation.

Real-life use case: Startups shipping MVPs

A small team used Rocket to build and ship an MVP for a productivity app in one weekend. They used a Figma design, connected Supabase for their database, and published the app via Netlify without writing boilerplate code.

They saved time by automating repetitive tasks, used the AI code editor to handle layout logic, and skipped backend setup thanks to built-in AI support.

Bullet points of benefits they experienced:

• Saved 80% time on frontend work

• Zero backend code was written manually

• Smooth code completion and syncing with GitHub

• Full app shared via public preview link

Final thoughts: Choosing the right AI code tool

Rocket provides a complete development experience, including full-stack generation, visual editing, and ready-to-deploy code. It’s built for anyone serious about building actual products, not just wireframes.

If you design UI components and host them with Vercel, v0.dev gets the job done. But if you're building full web and mobile applications, working with different programming languages, and care about code quality, DhiWise Rocket is built for your workflow.