Technical Requirements
Your system needs to meet specific requirements to run our debugging platform effectively. We've designed our tools to work across various environments while maintaining optimal performance.
System Requirements
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Operating System: Windows 10/11, macOS 10.15+, or Ubuntu 18.04+ (64-bit)
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Memory: Minimum 8GB RAM, recommended 16GB for larger codebases
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Storage: 2GB free disk space for installation, additional space for project files
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Processor: Intel i5 equivalent or better, ARM processors supported on macOS
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Network: Stable internet connection for real-time collaboration features
Development Environment
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Code Editors: VS Code, IntelliJ IDEA, Sublime Text, or Vim with plugin support
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Languages Supported: JavaScript, Python, Java, C++, C#, Ruby, Go, and TypeScript
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Version Control: Git 2.20+ required for project synchronization
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Terminal Access: Command line interface needed for advanced debugging features
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Browser: Chrome 90+, Firefox 88+, Safari 14+, or Edge 90+ for web interface
Hardware Specifications
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Display: 1920x1080 minimum resolution, dual monitor setup recommended
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Input Devices: Standard keyboard and mouse, trackpad gestures supported
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Graphics: Integrated graphics sufficient, dedicated GPU improves performance
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Ports: USB 3.0+ for external debugging devices, optional microphone for voice commands
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Performance: SSD recommended for faster project loading and analysis
Platform Compatibility
Our debugging environment integrates smoothly with popular development platforms and frameworks. Check how your preferred tools work with our system.
Docker Integration
Full container support with debugging inside Docker environments. Attach to running containers and debug multi-service applications seamlessly.
Cloud Platforms
Works with AWS, Google Cloud, and Azure development environments. Remote debugging capabilities for cloud-deployed applications.
CI/CD Integration
Compatible with Jenkins, GitHub Actions, and GitLab CI. Automated debugging reports in your deployment pipeline.
Performance Optimization Tips
For the best experience, close unnecessary applications during intensive debugging sessions. Our system performs automatic memory management, but having adequate resources ensures smooth operation when analyzing complex code structures. Consider upgrading to 32GB RAM if you regularly work with enterprise-level applications or large datasets.