theORQL is vision-enabled frontend AI designed to close the loop between your UI and your codebase. It addresses the problem where most AI coding tools generate code that looks right in text but renders wrong in the browser by incorporating visual verification directly into the development workflow.

The product takes screenshots of the UI including full page and element-level captures. It reads DOM structure, computed styles, network activity, and console outputs to understand the current state. The system maps UI elements to their owning components using source maps for precise identification.

After analyzing the UI, theORQL applies changes and visually verifies them directly in the Chrome browser. This ensures that modifications render correctly before any code is finalized. The tool then provides reviewable diffs without automatically committing changes, giving developers full control over the implementation.

The primary benefit is ensuring UI fixes land correctly the first time by eliminating the disconnect between code generation and visual rendering. This saves developers from manual debugging cycles and reduces the time spent fixing visual regressions that traditional AI coding assistants might introduce.

theORQL targets frontend developers working with Chrome and VS Code who want to streamline their debugging and development workflow. It integrates with browser developer tools and code editors to provide a seamless experience between visual inspection and code modification.