Instant Fixes for Broken Code

Benchify's Code Correction API automatically fixes errors in LLM-generated UI code. No more blank screens, missing imports, or broken buttons—just working apps, instantly.

AI Generated Code

Benchify Fixed

function CoolButton({ text }) {
  return (
    <Button
      variant="gradient"
      onClick={handleClick}
    >
      {text}
    </Button>
  )
}

// Error: handleClick not defined
// Error: Button missing import

Imports fixed

import { Button } from "./ui/button";

function CoolButton({ text }) {
  const handleClick = () => {
    console.log("Button clicked");
  };
  
  return (
    <Button
      variant="gradient"
      onClick={handleClick}
    >
      {text}
    </Button>
  )
}

Crashes on render

Works perfectly

LLM UI Builders Ship Broken Code

LLMs are trained to guess code—not test it.

Expectation

✨

Beautiful UI

What you expect from the AI preview

Reality

⚠️

Error Screen

Module not found

What you actually get in production

Using LLMs to generate UI code often results in:

Pages that render blank or crash on load

Generated components often fail to render properly in production

Missing imports and dependencies

Required packages and imports are frequently omitted

Unused or invalid component props

Props don't match what components actually need

Broken navigation and state logic

State management and routing often contain critical bugs

JSX or syntax errors that stop builds

Invalid syntax prevents successful compilation

Code Correction, On Autopilot

Benchify's Correction API cleans up your code in seconds:

How It Works

Generate Code with AI

Use v0.dev, Lovable, or other LLM tools to generate UI code

Broken Output

Code with missing imports, syntax errors, and undefined handlers

Benchify Correction API

A single API call to automatically fix code issues

Fixed, Working Code

Clean, functional code that compiles and renders correctly

Detects and fixes missing imports, handlers, and logic
Repairs JSX and syntax errors automatically
Corrects incorrect props or outdated Next.js patterns
Ensures routing and layout render as expected

Simple API call

await benchify.correct(code);

See It in Action

Here's how we fixed real code from a v0.dev export:

v0.dev Code Fix Example

Before (broken):

// Missing import
export function ProfileCard({ user }) {
  // No typechecking for user object
  
  return (
    <div className="card">
      <img src={user.avatar} alt={user.name} />
      
      <h2>{user.name}</h2>
      
      {/* Typo: user.descriptoin doesn't exist */}
      <p>{user.descriptoin}</p>
      
      {/* handleFollow is not defined */}
      <button onClick={handleFollow}>
        Follow {user.name}
      </button>
    </div>
  )
}

After (fixed):

import React from "react";
import { Button } from "./ui/button";

export function ProfileCard({ 
  user = { 
    name: "",
    avatar: "",
    description: "" 
  } 
}) {
  const handleFollow = () => {
    console.log('Following', user.name);
  };
  
  return (
    <div className="card">
      <img 
        src={user.avatar} 
        alt={user.name || "User avatar"} 
      />
      
      <h2>{user.name}</h2>
      
      {/* Fixed property name */}
      <p>{user.description}</p>
      
      <Button onClick={handleFollow}>
        Follow {user.name}
      </Button>
    </div>
  )
}

Fixes applied:

Missing import added

Invalid prop corrected

Now it compiles and runs

Works with all major LLM providers

Why Builders Love This

Ship faster. Look smarter. Delight your users.

Instant Fixes

Works in seconds, automatically fixing code errors without manual intervention.

Smart Corrections

Intelligently handles imports, props, and logic to ensure code works correctly.

Cost-Effective

Avoid expensive extra GPT-4 calls for code fixes and iterations.

Improves Conversion

More working UIs means happier users and better adoption.

10x faster than GPT retry

Cheaper than another LLM call

Supports Next.js

Handles React + Tailwind

One API call, infinite fixes.

Easily fix code generated by any LLM provider or tool via our API or SDKs.

example.py

Python SDK Example

import benchify_api
import openai
# Initialize clients
benchify = benchify_api.Client(api_key="YOUR_BENCHIFY_KEY")
client = openai.Client(api_key="YOUR_OPENAI_KEY")
# Get code from OpenAI
response = client.chat.completions.create(
    model="gpt-4",
    messages=[
        {"role": "user",
         "content": "Write a database query function"}
    ]
)
ai_code = response.choices[0].message.content
# Fix the code with Benchify
result = benchify.validate_code(
    code=ai_code,
    language="python",
    auto_fix=True
)
# Use the fixed code
fixed_code = result.fixed_code
exec(fixed_code)  # Now safe to run

Integrate into your build pipeline, preview step, or code generation backend.

Ready to elevate your UI building experience?

Deliver working code every time

Join companies shipping reliable AI-generated UI components with our correction API