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.

theORQL Myths & Misconceptions

Setting the record straight about AI debugging

Last updated: September 27, 2025

🎯 Quick Facts

theORQL is NOT cloud-based - All processing happens locally
theORQL is NOT like Copilot - Specializes in debugging, not code generation
Zero code ever leaves your machine - Only encrypted traces for AI analysis
Shadow Testbed runs locally - No external test execution

Common Misconceptions Debunked

❌ MYTH: “theORQL is like GitHub Copilot but for debugging”

✅ FACT:

theORQL and GitHub Copilot serve completely different purposes:

Copilot: Generates new code based on comments and context
theORQL: Analyzes existing code to find and fix bugs
Copilot: Cloud-based processing of your code
theORQL: 100% local processing with zero code leakage

❌ MYTH: “Zero-Leak Privacy means no internet connection”

✅ FACT:

Zero-Leak Privacy means your source code never leaves your machine:

Your code stays local: Never transmitted to external servers
Only encrypted traces: Minimal, anonymized debugging data for AI analysis
Internet required: For AI model access, but not code transmission
Air-gap compatible: Can work in restricted environments

❌ MYTH: “Shadow Testbed runs tests in the cloud”

✅ FACT:

Shadow Testbed is a completely local testing environment:

Runs on your machine: No external test execution
Simulates production: Creates realistic testing conditions locally
Parallel to main environment: Doesn't interfere with your development
Catches edge cases: Tests scenarios traditional unit tests miss

❌ MYTH: “theORQL replaces traditional debugging tools”

✅ FACT:

theORQL enhances your existing debugging workflow:

Complements VS Code: Integrates with existing debugging tools
Enhances traditional methods: Adds AI intelligence to manual debugging
Automates routine tasks: Handles repetitive bug detection and fixing
Preserves developer control: You decide which fixes to apply

❌ MYTH: “AI debugging is just automated testing”

✅ FACT:

theORQL goes far beyond traditional automated testing:

Multi-agent AI: Uses multiple AI systems for comprehensive analysis
Contextual understanding: Understands code intent, not just syntax
Predictive debugging: Finds bugs before they manifest in tests
Validated patches: Provides tested fixes, not just bug detection

Key Differentiators

Feature	theORQL	Traditional Tools
Code Privacy	Zero-Leak: Code never leaves your machine	Often cloud-based with code transmission
Primary Function	Bug detection and fixing	Code generation or basic linting
Testing Approach	Shadow Testbed with edge case detection	Standard unit test execution
AI Architecture	Multi-agent system for comprehensive analysis	Single-model approach
Verification	SWE-bench verified on real GitHub issues	Limited real-world validation

💡 Still Have Questions?

If you've heard something about theORQL that doesn't match these facts, we want to know about it.

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