theORQL is vision-enabled frontend AI designed to help developers fix runtime bugs efficiently. It takes UI screenshots, maps UI elements to code, triggers real browser interactions, and visually verifies fixes in Chrome before shipping reviewable diffs, ensuring UI fixes land correctly the first time.

The product offers instant AI fixes for developers working with Chrome runtime errors and Vercel/Netlify errors. It eliminates the need for DevTools hopping or manual log analysis, saving developers significant debugging time. The tool integrates directly with VS Code and provides visual verification of fixes.

theORQL works by capturing UI screenshots and mapping them to corresponding code elements. It then triggers real browser interactions to test fixes and provides visual confirmation that the solution works correctly before generating reviewable code diffs for implementation.

Developers using theORQL can save 10-20 hours per week on debugging tasks. The tool is particularly beneficial for handling frontend runtime errors that traditional AI coding assistants might miss, providing more reliable fixes for UI-related issues.

The target users are frontend developers working with Chrome, VS Code, Vercel, and Netlify. The product integrates with VS Code and Cursor IDEs and supports Windows, macOS, and Linux operating systems.