How to Fix Broken AI Code in Minutes: A Step-by-Step Guide with Webvizio

AI code fixer tools can now solve debugging problems in seconds instead of taking hours or days.

The digital world moves faster every day, and AI code debugging solutions have become vital to increase efficiency. Developers often face unexpected errors while using AI coding tools like Cursor and Windsurf. Webvizio provides a powerful AI code fixer that turns non-technical feedback into useful prompts. The code debugging AI tool also gathers significant data such as CSS selectors, browser information, and console logs to improve bug-fixing accuracy.

This piece shows you how to use Webvizio’s browser extension to spot and fix broken AI code quickly. Webvizio provides a 7-day free trial; after that, the advanced features are available starting at just $8 per month. For those who don’t mind some manual browser logs collection, Webvizio offers a free AI Prompt Generator for AI debugging. Both work seamlessly with any AI coding agent that can access your project’s codebase, regardless of whether you work with complex web applications or simple websites.

Set Up Webvizio for AI Code Debugging

Let’s get started with Webvizio browser extension – your AI companion that helps fix bugs in AI-generated code. You can set up this AI code debug tool quickly.

Here’s how to install Webvizio:

1. Visit the Chrome Web Store and download the Webvizio extension
2. After installation, pin the extension icon to your toolbar to access it easily

3. Click the extension icon and connect your existing Webvizio profile or sign up for a new account
4. Click the Connect button to complete the signup.

The next step is connecting Webvizio to your project. Head over to the website or application with the AI-generated code you want to debug. Look for the Webvizio icon in the upper right corner of your browser and click it. The extension will automatically link to projects that match your website’s domain. You can also create a new project if needed.

Webvizio stands out as a code debugging AI solution because it collects important technical details automatically. This helps identify problems in code created by tools like Cursor and Windsurf. The collected information includes:

• Device and browser specifications
• Full-resolution page screenshots
• Browser console logs showing error messages
• Detailed network logs
• Step-by-step user action history

Webvizio automatically enables browser log collection before creating the task, which is especially helpful for AI code debugging. This feature captures the exact state of execution and error conditions that occur with AI-generated code.

The technical data Webvizio gathers sets the perfect stage for debugging AI-generated code. You won’t spend hours trying to recreate issues anymore. Instead, you’ll have detailed documentation showing exactly what went wrong and where. Share this information directly with developers or use it to improve your AI coding tool’s output.

WordPress users can benefit from Webvizio’s plugin that displays content accurately and provides access to password-protected pages. However, the Chrome extension typically offers better capabilities for debugging AI code.

Create and Submit a Bug Report with Webvizio

Let’s create and submit a bug report to fix broken AI code after setting up Webvizio. You need to provide specific information to AI coding tools like Cursor and Windsurf. This helps them generate accurate fixes.

Here’s how to create a complete bug report plus an AI debugging prompt with Webvizio:

1. Open the page containing the broken AI-generated code

2. Click the Webvizio extension icon and select the problematic element on your page

3. Enter a descriptive title to explain the issue, and click “Create” to generate your report

4. Webvizio collects all the technical information developers need automatically.
   This includes device specifications, console logs, network logs, and user actions. These logs help debug AI-generated code by capturing the error’s technical context.

4. Click the Copy prompt button.
   This includes device specifications, console logs, network logs, and user actions. These logs help debug AI-generated code by capturing the error’s technical context.

The real power shows up after you submit the report. Webvizio turns your detailed bug report into AI-ready prompts designed for coding assistants.

You can use these AI-ready prompts with any coding assistant you prefer. Just copy the generated prompt and paste it into tools like Cursor, Windsurf, or your favorite AI coding agent. This method turns regular feedback into detailed code-fixing instructions.

Every prompt has CSS selectors for affected elements, browser information for browser-specific issues, and console logs from your website. This gives AI code fixers all the details they need to solve problems quickly.

The AI coding tool generates error-free fixes based on these detailed prompts. This cuts debugging time from hours to minutes. Your development workflow stays smooth while your code quality remains high.

Fix Broken AI Code Using Your Preferred AI Coding Tool

You’re ready to fix the broken code with your favorite AI tool once you have the AI-ready prompt from Webvizio. The best part? Webvizio creates universal AI prompts that work with almost any AI coding assistant that can access your codebase.

Here’s how to fix your broken AI code with the Webvizio-generated prompt:

1. Open your favorite AI coding tool (Cursor, Windsurf, Tabnine, etc.)

2. Paste the copied prompt into the AI chat/input area

3. Let the AI process the technical information

4. Review the suggested fix before you implement it

5. Reload your website or web application page to see the implemented changes. Done!

This workflow has a huge advantage. The prompt automatically includes all the technical details you need—CSS selectors, browser information, console logs, and reproduction steps. The AI gets everything it needs to understand both the issue and context without any manual input from you.

Cursor users will find this process works great because it can detect lint errors automatically and apply fixes. The same goes for Windsurf’s Cascade feature, which tracks human actions precisely and knows when you’re troubleshooting or refactoring code. These tools can suggest several changes at once, which saves time during debugging.

Conclusion

Debugging AI-generated code is now faster than ever. This piece shows how Webvizio revolutionizes the way developers spot and fix broken code from AI tools like Cursor and Windsurf.

Webvizio’s browser extension is a vital solution that automatically gathers significant technical details – browser information, console logs, CSS selectors, and user actions. This dramatically cuts down debugging time. On top of that, it turns unstructured feedback into AI-ready prompts and gives coding assistants everything they need to grasp both the issue and context.

The process we’ve outlined works with great flexibility. These detailed prompts work with almost any AI coding tool that can access your codebase. This makes Webvizio a universal solution whatever your tech stack might be. The approach turns hours of troubleshooting into a simplified process that takes minutes.

Note that AI tools are great at fixing many coding problems but still need precise information. Webvizio fills this gap by delivering exactly what AI needs to generate accurate fixes. You can start using Webvizio today to slash your debugging time and keep your development momentum strong when working with AI-generated code.

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