Repository files navigation

Open Interview Coder

An AI-powered coding assistant that helps you during screen sharing sessions. The assistant appears as an overlay on your screen and can help with coding questions, debugging, and general programming assistance.

Features

  • Invisible overlay that appears during screen sharing
  • Real-time AI assistance for coding questions
  • Screenshot analysis capabilities
  • Keyboard shortcuts for quick actions
  • Settings management for API configuration

Installation

For Users

  1. Download the latest release for your operating system from the releases page
  2. Install the application
  3. Launch the application
  4. Configure your OpenAI API key in the settings (Settings > API Configuration)

For Developers

  1. Clone the repository:

    git clone https://github.com/yourusername/open-interview-coder.git
    cd open-interview-coder
  2. Install dependencies:

    npm install
  3. Start the development server:

    npm run dev

Project Structure

open-interview-coder/
├── assets/ # Images and icons
│ ├── icon.iconset/ # macOS icon set
│ ├── OCTO.png # Application icon
│ └── icon.icns # macOS icon
├── src/ # Source code
│ ├── main.js # Main Electron process
│ ├── renderer.js # Renderer process for the main window
│ ├── preload.js # Preload script for secure IPC
│ ├── llm-service.js # LLM API integration
│ ├── screenshot.js # Screenshot capture functionality
│ ├── settings.js # Settings window functionality
│ └── config.js # Configuration management
├── styles.css # Application styles
├── index.html # Main application HTML
├── settings.html # Settings page HTML
├── .gitignore # Git ignore file
├── LICENSE # MIT License
├── package.json # npm package configuration
└── README.md # Project documentation

Building for Distribution

To build the application for distribution:

# For macOS
npm run build:mac
# For Windows
npm run build:win
# For Linux
npm run build:linux

The built applications will be available in the dist directory.

Usage

  1. Launch the application

  2. Use the keyboard shortcuts to show/hide the assistant:

    • Cmd/Ctrl + Shift + S: Take a screenshot
    • Cmd/Ctrl + Shift + H: Toggle assistant visibility
    • Cmd/Ctrl + ←/→/↑/↓: Move the assistant window
    • Cmd + ,: Open settings
  3. The assistant will appear as an overlay on your screen during screen sharing sessions

  4. Type your questions or requests in the chat interface

  5. The AI will respond with relevant code snippets, explanations, and suggestions

Configuration

The OpenAI API key can be configured through the app's settings UI:

  1. Open the settings window (Settings > API Configuration)
  2. Enter your OpenAI API key
  3. Click "Save Changes"

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

About

An undetectable AI assistant for coding interviews

Topics

Resources

Stars

34 stars

Watchers

3 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
Skip to content

Repository files navigation

Open Interview Coder

An AI-powered coding assistant that helps you during screen sharing sessions. The assistant appears as an overlay on your screen and can help with coding questions, debugging, and general programming assistance.

Features

  • Invisible overlay that appears during screen sharing
  • Real-time AI assistance for coding questions
  • Screenshot analysis capabilities
  • Keyboard shortcuts for quick actions
  • Settings management for API configuration

Installation

For Users

  1. Download the latest release for your operating system from the releases page
  2. Install the application
  3. Launch the application
  4. Configure your OpenAI API key in the settings (Settings > API Configuration)

For Developers

  1. Clone the repository:

    git clone https://github.com/yourusername/open-interview-coder.git
    cd open-interview-coder
  2. Install dependencies:

    npm install
  3. Start the development server:

    npm run dev

Project Structure

open-interview-coder/
├── assets/ # Images and icons
│ ├── icon.iconset/ # macOS icon set
│ ├── OCTO.png # Application icon
│ └── icon.icns # macOS icon
├── src/ # Source code
│ ├── main.js # Main Electron process
│ ├── renderer.js # Renderer process for the main window
│ ├── preload.js # Preload script for secure IPC
│ ├── llm-service.js # LLM API integration
│ ├── screenshot.js # Screenshot capture functionality
│ ├── settings.js # Settings window functionality
│ └── config.js # Configuration management
├── styles.css # Application styles
├── index.html # Main application HTML
├── settings.html # Settings page HTML
├── .gitignore # Git ignore file
├── LICENSE # MIT License
├── package.json # npm package configuration
└── README.md # Project documentation

Building for Distribution

To build the application for distribution:

# For macOS
npm run build:mac
# For Windows
npm run build:win
# For Linux
npm run build:linux

The built applications will be available in the dist directory.

Usage

  1. Launch the application

  2. Use the keyboard shortcuts to show/hide the assistant:

    • Cmd/Ctrl + Shift + S: Take a screenshot
    • Cmd/Ctrl + Shift + H: Toggle assistant visibility
    • Cmd/Ctrl + ←/→/↑/↓: Move the assistant window
    • Cmd + ,: Open settings
  3. The assistant will appear as an overlay on your screen during screen sharing sessions

  4. Type your questions or requests in the chat interface

  5. The AI will respond with relevant code snippets, explanations, and suggestions

Configuration

The OpenAI API key can be configured through the app's settings UI:

  1. Open the settings window (Settings > API Configuration)
  2. Enter your OpenAI API key
  3. Click "Save Changes"

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

About

An undetectable AI assistant for coding interviews

Topics

Resources

Stars

34 stars

Watchers

3 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

Open Interview Coder

An AI-powered coding assistant that helps you during screen sharing sessions. The assistant appears as an overlay on your screen and can help with coding questions, debugging, and general programming assistance.

Features

  • Invisible overlay that appears during screen sharing
  • Real-time AI assistance for coding questions
  • Screenshot analysis capabilities
  • Keyboard shortcuts for quick actions
  • Settings management for API configuration

Installation

For Users

  1. Download the latest release for your operating system from the releases page
  2. Install the application
  3. Launch the application
  4. Configure your OpenAI API key in the settings (Settings > API Configuration)

For Developers

  1. Clone the repository:

    git clone https://github.com/yourusername/open-interview-coder.git
    cd open-interview-coder
  2. Install dependencies:

    npm install
  3. Start the development server:

    npm run dev

Project Structure

open-interview-coder/
├── assets/ # Images and icons
│ ├── icon.iconset/ # macOS icon set
│ ├── OCTO.png # Application icon
│ └── icon.icns # macOS icon
├── src/ # Source code
│ ├── main.js # Main Electron process
│ ├── renderer.js # Renderer process for the main window
│ ├── preload.js # Preload script for secure IPC
│ ├── llm-service.js # LLM API integration
│ ├── screenshot.js # Screenshot capture functionality
│ ├── settings.js # Settings window functionality
│ └── config.js # Configuration management
├── styles.css # Application styles
├── index.html # Main application HTML
├── settings.html # Settings page HTML
├── .gitignore # Git ignore file
├── LICENSE # MIT License
├── package.json # npm package configuration
└── README.md # Project documentation

Building for Distribution

To build the application for distribution:

# For macOS
npm run build:mac
# For Windows
npm run build:win
# For Linux
npm run build:linux

The built applications will be available in the dist directory.

Usage

  1. Launch the application

  2. Use the keyboard shortcuts to show/hide the assistant:

    • Cmd/Ctrl + Shift + S: Take a screenshot
    • Cmd/Ctrl + Shift + H: Toggle assistant visibility
    • Cmd/Ctrl + ←/→/↑/↓: Move the assistant window
    • Cmd + ,: Open settings
  3. The assistant will appear as an overlay on your screen during screen sharing sessions

  4. Type your questions or requests in the chat interface

  5. The AI will respond with relevant code snippets, explanations, and suggestions

Configuration

The OpenAI API key can be configured through the app's settings UI:

  1. Open the settings window (Settings > API Configuration)
  2. Enter your OpenAI API key
  3. Click "Save Changes"

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

About

An undetectable AI assistant for coding interviews

Topics

Resources

Stars

34 stars

Watchers

3 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

Open Interview Coder

An AI-powered coding assistant that helps you during screen sharing sessions. The assistant appears as an overlay on your screen and can help with coding questions, debugging, and general programming assistance.

Features

  • Invisible overlay that appears during screen sharing
  • Real-time AI assistance for coding questions
  • Screenshot analysis capabilities
  • Keyboard shortcuts for quick actions
  • Settings management for API configuration

Installation

For Users

  1. Download the latest release for your operating system from the releases page
  2. Install the application
  3. Launch the application
  4. Configure your OpenAI API key in the settings (Settings > API Configuration)

For Developers

  1. Clone the repository:

    git clone https://github.com/yourusername/open-interview-coder.git
    cd open-interview-coder
  2. Install dependencies:

    npm install
  3. Start the development server:

    npm run dev

Project Structure

open-interview-coder/
├── assets/ # Images and icons
│ ├── icon.iconset/ # macOS icon set
│ ├── OCTO.png # Application icon
│ └── icon.icns # macOS icon
├── src/ # Source code
│ ├── main.js # Main Electron process
│ ├── renderer.js # Renderer process for the main window
│ ├── preload.js # Preload script for secure IPC
│ ├── llm-service.js # LLM API integration
│ ├── screenshot.js # Screenshot capture functionality
│ ├── settings.js # Settings window functionality
│ └── config.js # Configuration management
├── styles.css # Application styles
├── index.html # Main application HTML
├── settings.html # Settings page HTML
├── .gitignore # Git ignore file
├── LICENSE # MIT License
├── package.json # npm package configuration
└── README.md # Project documentation

Building for Distribution

To build the application for distribution:

# For macOS
npm run build:mac
# For Windows
npm run build:win
# For Linux
npm run build:linux

The built applications will be available in the dist directory.

Usage

  1. Launch the application

  2. Use the keyboard shortcuts to show/hide the assistant:

    • Cmd/Ctrl + Shift + S: Take a screenshot
    • Cmd/Ctrl + Shift + H: Toggle assistant visibility
    • Cmd/Ctrl + ←/→/↑/↓: Move the assistant window
    • Cmd + ,: Open settings
  3. The assistant will appear as an overlay on your screen during screen sharing sessions

  4. Type your questions or requests in the chat interface

  5. The AI will respond with relevant code snippets, explanations, and suggestions

Configuration

The OpenAI API key can be configured through the app's settings UI:

  1. Open the settings window (Settings > API Configuration)
  2. Enter your OpenAI API key
  3. Click "Save Changes"

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

About

An undetectable AI assistant for coding interviews

Topics

Resources

Stars

34 stars

Watchers

3 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content

Repository files navigation

Open Interview Coder

An AI-powered coding assistant that helps you during screen sharing sessions. The assistant appears as an overlay on your screen and can help with coding questions, debugging, and general programming assistance.

Features

  • Invisible overlay that appears during screen sharing
  • Real-time AI assistance for coding questions
  • Screenshot analysis capabilities
  • Keyboard shortcuts for quick actions
  • Settings management for API configuration

Installation

For Users

  1. Download the latest release for your operating system from the releases page
  2. Install the application
  3. Launch the application
  4. Configure your OpenAI API key in the settings (Settings > API Configuration)

For Developers

  1. Clone the repository:

    git clone https://github.com/yourusername/open-interview-coder.git
    cd open-interview-coder
  2. Install dependencies:

    npm install
  3. Start the development server:

    npm run dev

Project Structure

open-interview-coder/
├── assets/ # Images and icons
│ ├── icon.iconset/ # macOS icon set
│ ├── OCTO.png # Application icon
│ └── icon.icns # macOS icon
├── src/ # Source code
│ ├── main.js # Main Electron process
│ ├── renderer.js # Renderer process for the main window
│ ├── preload.js # Preload script for secure IPC
│ ├── llm-service.js # LLM API integration
│ ├── screenshot.js # Screenshot capture functionality
│ ├── settings.js # Settings window functionality
│ └── config.js # Configuration management
├── styles.css # Application styles
├── index.html # Main application HTML
├── settings.html # Settings page HTML
├── .gitignore # Git ignore file
├── LICENSE # MIT License
├── package.json # npm package configuration
└── README.md # Project documentation

Building for Distribution

To build the application for distribution:

# For macOS
npm run build:mac
# For Windows
npm run build:win
# For Linux
npm run build:linux

The built applications will be available in the dist directory.

Usage

  1. Launch the application

  2. Use the keyboard shortcuts to show/hide the assistant:

    • Cmd/Ctrl + Shift + S: Take a screenshot
    • Cmd/Ctrl + Shift + H: Toggle assistant visibility
    • Cmd/Ctrl + ←/→/↑/↓: Move the assistant window
    • Cmd + ,: Open settings
  3. The assistant will appear as an overlay on your screen during screen sharing sessions

  4. Type your questions or requests in the chat interface

  5. The AI will respond with relevant code snippets, explanations, and suggestions

Configuration

The OpenAI API key can be configured through the app's settings UI:

  1. Open the settings window (Settings > API Configuration)
  2. Enter your OpenAI API key
  3. Click "Save Changes"

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

About

An undetectable AI assistant for coding interviews

Topics

Resources

Stars

34 stars

Watchers

3 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

Open Interview Coder

An AI-powered coding assistant that helps you during screen sharing sessions. The assistant appears as an overlay on your screen and can help with coding questions, debugging, and general programming assistance.

Features

  • Invisible overlay that appears during screen sharing
  • Real-time AI assistance for coding questions
  • Screenshot analysis capabilities
  • Keyboard shortcuts for quick actions
  • Settings management for API configuration

Installation

For Users

  1. Download the latest release for your operating system from the releases page
  2. Install the application
  3. Launch the application
  4. Configure your OpenAI API key in the settings (Settings > API Configuration)

For Developers

  1. Clone the repository:

    git clone https://github.com/yourusername/open-interview-coder.git
    cd open-interview-coder
  2. Install dependencies:

    npm install
  3. Start the development server:

    npm run dev

Project Structure

open-interview-coder/
├── assets/ # Images and icons
│ ├── icon.iconset/ # macOS icon set
│ ├── OCTO.png # Application icon
│ └── icon.icns # macOS icon
├── src/ # Source code
│ ├── main.js # Main Electron process
│ ├── renderer.js # Renderer process for the main window
│ ├── preload.js # Preload script for secure IPC
│ ├── llm-service.js # LLM API integration
│ ├── screenshot.js # Screenshot capture functionality
│ ├── settings.js # Settings window functionality
│ └── config.js # Configuration management
├── styles.css # Application styles
├── index.html # Main application HTML
├── settings.html # Settings page HTML
├── .gitignore # Git ignore file
├── LICENSE # MIT License
├── package.json # npm package configuration
└── README.md # Project documentation

Building for Distribution

To build the application for distribution:

# For macOS
npm run build:mac
# For Windows
npm run build:win
# For Linux
npm run build:linux

The built applications will be available in the dist directory.

Usage

  1. Launch the application

  2. Use the keyboard shortcuts to show/hide the assistant:

    • Cmd/Ctrl + Shift + S: Take a screenshot
    • Cmd/Ctrl + Shift + H: Toggle assistant visibility
    • Cmd/Ctrl + ←/→/↑/↓: Move the assistant window
    • Cmd + ,: Open settings
  3. The assistant will appear as an overlay on your screen during screen sharing sessions

  4. Type your questions or requests in the chat interface

  5. The AI will respond with relevant code snippets, explanations, and suggestions

Configuration

The OpenAI API key can be configured through the app's settings UI:

  1. Open the settings window (Settings > API Configuration)
  2. Enter your OpenAI API key
  3. Click "Save Changes"

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

About

An undetectable AI assistant for coding interviews

Topics

Resources

Stars

34 stars

Watchers

3 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Open Interview Coder

An AI-powered coding assistant that helps you during screen sharing sessions. The assistant appears as an overlay on your screen and can help with coding questions, debugging, and general programming assistance.

Features

  • Invisible overlay that appears during screen sharing
  • Real-time AI assistance for coding questions
  • Screenshot analysis capabilities
  • Keyboard shortcuts for quick actions
  • Settings management for API configuration

Installation

For Users

  1. Download the latest release for your operating system from the releases page
  2. Install the application
  3. Launch the application
  4. Configure your OpenAI API key in the settings (Settings > API Configuration)

For Developers

  1. Clone the repository:

    git clone https://github.com/yourusername/open-interview-coder.git
    cd open-interview-coder
  2. Install dependencies:

    npm install
  3. Start the development server:

    npm run dev

Project Structure

open-interview-coder/
├── assets/ # Images and icons
│ ├── icon.iconset/ # macOS icon set
│ ├── OCTO.png # Application icon
│ └── icon.icns # macOS icon
├── src/ # Source code
│ ├── main.js # Main Electron process
│ ├── renderer.js # Renderer process for the main window
│ ├── preload.js # Preload script for secure IPC
│ ├── llm-service.js # LLM API integration
│ ├── screenshot.js # Screenshot capture functionality
│ ├── settings.js # Settings window functionality
│ └── config.js # Configuration management
├── styles.css # Application styles
├── index.html # Main application HTML
├── settings.html # Settings page HTML
├── .gitignore # Git ignore file
├── LICENSE # MIT License
├── package.json # npm package configuration
└── README.md # Project documentation

Building for Distribution

To build the application for distribution:

# For macOS
npm run build:mac
# For Windows
npm run build:win
# For Linux
npm run build:linux

The built applications will be available in the dist directory.

Usage

  1. Launch the application

  2. Use the keyboard shortcuts to show/hide the assistant:

    • Cmd/Ctrl + Shift + S: Take a screenshot
    • Cmd/Ctrl + Shift + H: Toggle assistant visibility
    • Cmd/Ctrl + ←/→/↑/↓: Move the assistant window
    • Cmd + ,: Open settings
  3. The assistant will appear as an overlay on your screen during screen sharing sessions

  4. Type your questions or requests in the chat interface

  5. The AI will respond with relevant code snippets, explanations, and suggestions

Configuration

The OpenAI API key can be configured through the app's settings UI:

  1. Open the settings window (Settings > API Configuration)
  2. Enter your OpenAI API key
  3. Click "Save Changes"

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

About

An undetectable AI assistant for coding interviews

Topics

Resources

Stars

34 stars

Watchers

3 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content

Repository files navigation

Open Interview Coder

An AI-powered coding assistant that helps you during screen sharing sessions. The assistant appears as an overlay on your screen and can help with coding questions, debugging, and general programming assistance.

Features

  • Invisible overlay that appears during screen sharing
  • Real-time AI assistance for coding questions
  • Screenshot analysis capabilities
  • Keyboard shortcuts for quick actions
  • Settings management for API configuration

Installation

For Users

  1. Download the latest release for your operating system from the releases page
  2. Install the application
  3. Launch the application
  4. Configure your OpenAI API key in the settings (Settings > API Configuration)

For Developers

  1. Clone the repository:

    git clone https://github.com/yourusername/open-interview-coder.git
    cd open-interview-coder
  2. Install dependencies:

    npm install
  3. Start the development server:

    npm run dev

Project Structure

open-interview-coder/
├── assets/ # Images and icons
│ ├── icon.iconset/ # macOS icon set
│ ├── OCTO.png # Application icon
│ └── icon.icns # macOS icon
├── src/ # Source code
│ ├── main.js # Main Electron process
│ ├── renderer.js # Renderer process for the main window
│ ├── preload.js # Preload script for secure IPC
│ ├── llm-service.js # LLM API integration
│ ├── screenshot.js # Screenshot capture functionality
│ ├── settings.js # Settings window functionality
│ └── config.js # Configuration management
├── styles.css # Application styles
├── index.html # Main application HTML
├── settings.html # Settings page HTML
├── .gitignore # Git ignore file
├── LICENSE # MIT License
├── package.json # npm package configuration
└── README.md # Project documentation

Building for Distribution

To build the application for distribution:

# For macOS
npm run build:mac
# For Windows
npm run build:win
# For Linux
npm run build:linux

The built applications will be available in the dist directory.

Usage

  1. Launch the application

  2. Use the keyboard shortcuts to show/hide the assistant:

    • Cmd/Ctrl + Shift + S: Take a screenshot
    • Cmd/Ctrl + Shift + H: Toggle assistant visibility
    • Cmd/Ctrl + ←/→/↑/↓: Move the assistant window
    • Cmd + ,: Open settings
  3. The assistant will appear as an overlay on your screen during screen sharing sessions

  4. Type your questions or requests in the chat interface

  5. The AI will respond with relevant code snippets, explanations, and suggestions

Configuration

The OpenAI API key can be configured through the app's settings UI:

  1. Open the settings window (Settings > API Configuration)
  2. Enter your OpenAI API key
  3. Click "Save Changes"

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

About

An undetectable AI assistant for coding interviews

Topics

Resources

Stars

34 stars

Watchers

3 watching

Forks

Releases

Packages

Used by

Contributors

Languages