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GitHub – ibttf/interview-coder

An invisible desktop application that will help you pass your technical interviews.


Interview.Coder.Launches.mp4


Invisibility Compatibility

The application is invisible to:

  • Zoom versions below 6.1.6 (inclusive)
  • All browser-based screen recording software
  • All versions of Discord
  • Mac OS screenshot functionality (Command + Shift + 3/4)

Note: The application is NOT invisible to:

  • Zoom versions 6.1.6 and above
  • Mac OS native screen recording (Command + Shift + 5)
  • 🎯 99% Invisibility: Undetectable window that bypasses most screen capture methods
  • 📸 Smart Screenshot Capture: Capture both question text and code separately for better analysis
  • 🤖 AI-Powered Analysis: Automatically extracts and analyzes coding problems
  • 💡 Solution Generation: Get detailed explanations and solutions
  • 🔧 Real-time Debugging: Debug your code with AI assistance
  • 🎨 Window Management: Freely move and position the window anywhere on screen

The application uses unidentifiable global keyboard shortcuts that won’t be detected by browsers or other applications:

  • Toggle Window Visibility: [Control or Cmd + b]
  • Move Window: [Control or Cmd + arrows]
  • Take Screenshot: [Control or Cmd + H]
  • Process Screenshots: [Control or Cmd + Enter]
  • Reset View: [Control or Cmd + R]
  1. Initial Setup

    • Launch the invisible window
    • Authenticate with OpenAI API key
  2. Capturing Problem

    • Use global shortcut to take screenshots
    • Capture question text and code separately for better analysis
    • Screenshots are automatically added to the processing queue
  3. Processing

    • AI analyzes the screenshots to extract:
      • Problem requirements
      • Code context
    • System generates optimal solution strategy
  4. Solution & Debugging

    • View generated solutions
    • Use debugging feature to:
      • Test different approaches
      • Fix errors in your code
      • Get line-by-line explanations
    • Toggle between solutions and queue views
  5. Window Management

    • Move window freely using global shortcut
    • Toggle visibility as needed
    • Window remains invisible to specified applications
    • Reset view using Command + R
  • Node.js (v16 or higher)
  • npm or bun package manager
  • OpenAI API key (for AI features)
  • Screen Recording Permission for Terminal/IDE
    • On macOS:
      1. Go to System Preferences > Security & Privacy > Privacy > Screen Recording
      2. Ensure your Terminal app (or IDE) has screen recording permission enabled
      3. Restart your Terminal/IDE after enabling permissions
    • On Windows:
      • No additional permissions needed
    • On Linux:
      • May require xhost access depending on your distribution
  1. Clone the repository:
git clone https://github.com/ibttf/interview-coder.git
cd interview-coder
  1. Install dependencies:
npm install
# or if using bun
bun install
  1. Start the development server:
npm run app:dev
# or
bun run app:dev

This will:

  • Start the Vite development server
  • Launch the Electron application
  • Enable hot-reloading for development

To create a production build:

npm run app:build
# or
bun run app:build

The built application will be available in the release directory.

  • Electron
  • React
  • TypeScript
  • Vite
  • Tailwind CSS
  • Radix UI Components
  • OpenAI API
  1. On first launch, you’ll need to provide your OpenAI API key
  2. The application will store your settings locally using electron-store

Contributions are welcome! Please feel free to submit a Pull Request.

ISC License

admin

The realistic wildlife fine art paintings and prints of Jacquie Vaux begin with a deep appreciation of wildlife and the environment. Jacquie Vaux grew up in the Pacific Northwest, soon developed an appreciation for nature by observing the native wildlife of the area. Encouraged by her grandmother, she began painting the creatures she loves and has continued for the past four decades. Now a resident of Ft. Collins, CO she is an avid hiker, but always carries her camera, and is ready to capture a nature or wildlife image, to use as a reference for her fine art paintings.

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