aihubly－One-Stop AI Tools Hub

theORQL

#AI Code Assistant #Monitor & Log Management

theORQL is a next-generation runtime debugging tool that captures and analyzes runtime errors in Chrome, explains their causes, and generates verified fixes directly in VS Code, enabling developers to fix bugs in minutes without context switching.

What is theORQL

theORQL is a groundbreaking debugging tool designed to streamline the debugging process for modern JavaScript/TypeScript frontend applications. It bridges the gap between Chrome DevTools and VS Code by deeply parsing the runtime environment in real-time, capturing every console log, network request, and stack trace the instant an error occurs. Unlike traditional debugging methods or generic AI coding tools, theORQL provides a comprehensive view of the application's state, including DOM structure, network activity, variable values, and execution order.

Key Features of theORQL

theORQL is a runtime debugging tool that streamlines the debugging process by capturing runtime errors (network, console, stack traces) and deployment failures in Chrome, explaining their root causes, and generating verified fixes directly in VS Code. It features real-time synchronization between Chrome DevTools and VS Code, eliminates the need for manual console logging and DevTools switching, and uses AI-powered analysis to provide instant fixes while maintaining full context of the runtime environment. Runtime Vision & Auto-Reproduction:Captures and analyzes DOM structure, computed styles, and runtime state, then automatically reproduces errors and validates fixes in the browser environment Chrome-VSCode Synchronization:Provides seamless integration between Chrome DevTools and VS Code, eliminating the need for context switching and manual copy-pasting AI-Powered Fix Generation:Uses advanced AI models with reasoning and image understanding to analyze issues and generate verified fixes with full runtime context Visual Verification System:Utilizes screenshots and runtime evidence to verify that UI changes match what actually renders, not just what compiles

Use Cases

Frontend Development Debugging: Helps developers quickly identify and fix UI state bugs, async promise failures, and integration problems in modern JavaScript/TypeScript frontends Educational Support: Assists coding tutors and students in understanding why code breaks by making the debugging process visible and educational Enterprise Development Teams: Streamlines debugging workflows for large teams working on complex applications, reducing time spent on error tracking and fixing Freelance Development: Enables freelance developers to quickly diagnose and fix client issues, reducing debugging time from hours to minutes

Pros

Significantly reduces debugging time and effort Eliminates context switching between tools Provides verified fixes with runtime validation Seamless integration with existing development workflow

Cons

Limited to Chromium-based browsers Primarily focused on frontend JavaScript/TypeScript applications Not designed for full production monitoring

How to Use theORQL

Install theORQL Extension: Search for 'theORQL' in VSCode marketplace or OpenVSX (for Cursor, Windsurf) and click Install. The theORQL icon will appear in your activity bar. Sign In: Click the theORQL icon in the activity bar and sign in to your account to activate the tool. Launch Your App: Start your local development server and provide theORQL with your localhost URL (e.g., http://localhost:3000). Debug in Chrome: Use your application normally in Chrome. When an error occurs, theORQL will automatically capture runtime evidence including console logs, network requests, DOM state, and stack traces. Review Error Analysis: theORQL will analyze the captured data and provide an explanation of what went wrong, along with the exact code path that caused the issue. Apply Fixes: Review the AI-generated fix suggestions right in VS Code. theORQL will verify the fixes by automatically reproducing the error scenario and testing if the fix resolves the issue. Verify Changes: theORQL will run its Auto Repro → Fix loop to ensure the changes actually work in the runtime environment, not just in the code. Review and Commit: Once verified, review the final diff of the changes and commit them to your codebase, all without leaving VS Code.

theORQL FAQs

1.What is theORQL?

theORQL is a debugging tool that captures runtime errors (network, console, stack traces) and deployment failures in web applications. It integrates with Chrome DevTools and VS Code to provide automated bug fixing and UI debugging without constant context switching.

2.How is theORQL different from other AI coding tools?

Unlike text-only AI coding tools, theORQL is vision-enabled and observes what apps actually render at runtime (DOM, computed CSS, network, console, and visual evidence). It can map UI to code and verify outcomes in the browser to ensure UI changes work correctly.

3.What types of issues can theORQL debug best?

theORQL is best at debugging browser/runtime errors, UI state bugs, flaky/edge-case regressions, and integration problems (API/network failures, bad responses, auth/session issues) that are difficult to reproduce or reason about from code alone.

4.How does the Auto Repro → Fix feature work?

Auto Repro → Fix is theORQL's runtime loop that reproduces the exact failure or user flow in the browser, applies a fix, then re-runs and verifies the result before providing a reviewable diff. This turns hard-to-reproduce bugs into verified solutions.

5.What information does theORQL capture when an error occurs?

When a runtime error occurs, theORQL captures stack traces, local variables, DOM state, URL, network requests/responses, and console logs leading up to the issue - similar to what you would normally inspect in Chrome DevTools.

6.How much does theORQL cost?

theORQL offers a free tier to try the tool, and an Ultra plan at $99/month for heavy usage and power users.

Comment

Superset

Superset is a turbocharged terminal application that enables developers to run multiple AI coding agents in parallel while providing tools to enhance development workflow through isolated Git worktrees.

Superset

cubic

cmux

SummonAI Kit

AgentNotch

Z.ai

Gemini 2.0 Flash ThinkingEditor's Choice

DeepSeekEditor's Choice

xAI Grok-2 | Grok AuroraEditor's Choice

ManusEditor's Choice

GitHub Copilot ChatEditor's Choice

OpenAI o1 in the APIEditor's Choice

CursorEditor's Choice

WebStorm

GPT Engineer

Vocareum

DeepSeekEditor's Choice

BLACKBOX AI

Anthropic computer use

Replit