1
Typed GraphQL Builder
Type-safe TypeScript GraphQL query builder replacing gql strings, inspired by tql; same type-gen + fluent query use-case for devs.
AI Tool
theORQL Review
theORQL is a vision-enabled AI frontend debugging tool designed for developers.
1Over 1200 downloads since launch on Product Hunt.
2Free to install on VS Code, Cursor, and Chrome.
3Captures UI screenshots, DOM states, and network data in real-time.
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SwiftGraphQL
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4
graphql-codegen
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overview
What is theORQL?
theORQL is a vision-enabled AI debugging tool developed by theORQL that enables frontend developers to build and debug applications efficiently. It captures runtime errors and suggests AI-generated fixes verified visually in the browser.
quick facts
Quick Facts
| Attribute | Value | |-----------|-------| | Developer | theORQL | | Pricing | Freemium | | Platforms | Web | | API Available | Yes | | Integrations | Chrome, VS Code | | Languages | JavaScript |
features
Key Features of theORQL
theORQL offers a comprehensive set of features that enhance frontend debugging and development.
- 1Visual verification of errors using screenshots.
- 2Real-time capture of DOM states and network data.
- 3AI-generated fixes that can be applied directly in the browser.
- 4Integration with VS Code and Cursor for seamless workflow.
- 5Support for troubleshooting responsive layouts across breakpoints.
use cases
Who Should Use theORQL?
theORQL is primarily designed for frontend developers who require efficient debugging tools to manage complex applications.
- 1Frontend developers addressing UI issues.
- 2Teams iterating on UI changes in real-time.
- 3Developers automating error reproduction and verification.
pricing
theORQL Pricing & Plans
theORQL operates under a freemium pricing model, with no paid tiers currently announced.
- 1Free: Free to download and install.
competitors
theORQL vs Competitors
theORQL's advanced capabilities position it distinctly against existing tools in the market.
1
chrome-devtools-mcp↗
Acts as a Model-Context-Protocol (MCP) server enabling AI coding agents like Cursor, Claude, and Copilot to control and inspect a live Chrome browser for automation, debugging, and performance analysis.
Similar to theORQL, it integrates with VS Code and Cursor for frontend debugging in Chrome, offering advanced browser inspection like network requests, screenshots, and console access via AI agents. While theORQL emphasizes vision-enabled UI-to-code mapping and visual verification with reviewable diffs, chrome-devtools-mcp focuses on broader DevTools protocol access and is open-source without specified pricing.
2
Cursor↗
An AI-powered code editor built on VS Code that accelerates coding with intelligent autocompletions, chat-based editing, and agentic workflows for full-stack development.
Cursor serves as the foundational editor for theORQL's extension, targeting the same VS Code users building frontend apps, but lacks theORQL's specific vision-based browser debugging and UI verification in Chrome. Both are freemium, though Cursor's pro tier unlocks advanced AI models for broader coding tasks beyond frontend debugging.
3
v0↗
Generates React and Next.js UI components from text prompts or images using AI, optimized for rapid frontend prototyping with Shadcn/UI integration.
v0 competes in AI-assisted frontend development by focusing on code generation from UI descriptions, contrasting theORQL's strength in live browser debugging and visual fix verification. It uses a credit-based freemium model suited for React/Next.js developers, while theORQL integrates directly into VS Code/Chrome for debugging existing codebases.
4
Kombai↗
Converts UI screenshots or designs into clean, production-ready code supporting over 30 frontend frameworks via AI-powered visual understanding.
Like theORQL, Kombai leverages vision to map UI elements to code, but prioritizes design-to-code conversion across frameworks rather than in-browser debugging and interaction verification. Its credit-based pricing targets designers and developers prototyping UIs, differing from theORQL's freemium focus on frontend engineers fixing live bugs in Chrome and VS Code.
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Frequently Asked Questions
+What is theORQL?
theORQL is a vision-enabled AI debugging tool developed by theORQL that enables frontend developers to build and debug applications efficiently. It captures runtime errors and suggests AI-generated fixes verified visually in the browser.
+Is theORQL free?
theORQL is available under a freemium pricing model with a free download for all users.
+What are the main features of theORQL?
theORQL features visual verification of errors, real-time capture of DOM states, AI-generated fix application, and integrations with VS Code and Chrome.
+Who should use theORQL?
theORQL is ideal for frontend developers, teams iterating on UI changes, and developers looking for automated debugging solutions.
+How does theORQL compare to alternatives?
theORQL differentiates itself with visual debugging capabilities and AI-generated fixes, which are not available in traditional tools like Chrome DevTools.