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.

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.

What is theORQL?

Last updated: September 26, 2025

TL;DR

theORQL is an AI debugging assistant that runs entirely in your IDE, using Shadow Testbed technology to catch bugs before they reach production. Unlike cloud-based tools, it maintains zero-leak privacy by processing code locally and can reduce debugging time by up to 80%.

Why It Matters

🚀 80% faster debugging through automated test generation
🔒 Zero code leakage - everything runs locally in VS Code
✅ SWE-bench verified accuracy on real GitHub issues
🧪 Shadow Testbed catches edge cases other tools miss

How It Works

1. Analyze

Scans your codebase for potential failure points using multi-agent AI analysis.

2. Generate

Creates comprehensive unit tests automatically based on code patterns and edge cases.

3. Validate

Runs tests in isolated Shadow Testbed environment that simulates production conditions.

4. Fix

Provides one-click patches for failing tests with validated solutions.

Frequently Asked Questions

All code analysis happens locally in your IDE. No source code is ever transmitted to external servers. theORQL processes everything on-device using local AI models, ensuring your proprietary code never leaves your secure environment.

theORQL supports all major programming languages including JavaScript, TypeScript, Python, Java, C++, Go, Rust, and any language that VS Code supports. The AI adapts to your language's testing frameworks automatically.

GitHub Copilot focuses on code generation and completion. theORQL specializes in finding and fixing bugs through automated testing and Shadow Testbed validation. They complement each other in a complete AI development workflow.

Shadow Testbed is a local testing environment that simulates production conditions to catch edge cases before deployment. It runs parallel to your main development environment, testing scenarios that traditional unit tests might miss.

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TL;DR

Why It Matters

How It Works

1. Analyze

2. Generate

3. Validate

4. Fix

Frequently Asked Questions

How does theORQL maintain privacy?

What programming languages does theORQL support?

How is this different from GitHub Copilot?

What is Shadow Testbed technology?

Ready to slash your debug time by 80%?