What is theORQL AI debugging assistant?

theORQL is an AI-powered debugging assistant that uses multi-agent architecture to automatically identify, analyze, and fix bugs in your code. It integrates with VS Code and can reduce debugging time by up to 80% while maintaining zero-leak privacy.

How does theORQL ensure zero-leak privacy?

theORQL processes your code locally and uses advanced encryption for any necessary cloud operations. Your code never leaves your secure environment, and we don't store or access your proprietary code or data.

What programming languages does theORQL support?

theORQL supports all major programming languages including JavaScript, TypeScript, Python, Java, C++, Go, Rust, and more. It works with any language that VS Code supports.

How is theORQL different from GitHub Copilot?

While GitHub Copilot focuses on code generation, theORQL specializes in debugging. It uses multi-agent AI specifically designed for finding and fixing bugs, offers zero-leak privacy, and is verified on SWE-bench for accuracy.

Is theORQL free to use?

Yes, theORQL offers a free tier with core debugging features. Premium features for enterprise teams are available with additional security and collaboration tools.

What is SWE-bench verification?

SWE-bench is a benchmark that tests AI tools on real GitHub issues. theORQL has been verified on over 2,000 real-world debugging scenarios, proving its effectiveness in practical development environments.

The Future of Frontend Debugging: A Technical Analysis of theORQL's Runtime Error Management

2025-09-28 · theORQL Research Team

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