Welcome to the GitHub Copilot (VS Code) integration guide. This guide will help you connect ByteRover with GitHub Copilot in Visual Studio Code, giving Copilot persistent memory of your coding patterns and solutions.

What You’ll Need

  • Visual Studio Code installed
  • GitHub Copilot extension active in VS Code
  • A ByteRover account

Getting Started

1. Start the Connection

Go to your ByteRover dashboard and:
  1. Find the “Connect your agent” section
  2. Click on GitHub Copilot (VS Code) from the list
  3. Hit the “Connect with GitHub Copilot (VS Code)” button

2. Install ByteRover Extension

You’ll be directed to install the ByteRover extension for VS Code:
  • Option A: Click the direct install link to open VS Code Extension Marketplace
  • Option B: Search for “ByteRover” in VS Code Extensions panel and install

3. Configure the Extension

After installation:
  1. Open VS Code settings (Cmd/Ctrl + ,)
  2. Search for “ByteRover”
  3. Enter your API key from the ByteRover dashboard
  4. Enable ByteRover integration with GitHub Copilot

Test the Integration

With GitHub Copilot active, try asking it to store a pattern:
Store this debounce utility to ByteRover:

function debounce(func, wait, immediate) {
  let timeout;
  return function executedFunction(...args) {
    const later = () => {
      timeout = null;
      if (!immediate) func(...args);
    };
    const callNow = immediate && !timeout;
    clearTimeout(timeout);
    timeout = setTimeout(later, wait);
    if (callNow) func(...args);
  };
}
GitHub Copilot should confirm the pattern was stored to ByteRover.

Benefits

ByteRover gives GitHub Copilot persistent memory of your coding patterns, project architecture, and solutions. Copilot remembers your style and provides more contextually relevant suggestions across all sessions.
Yes. With access to your coding history and patterns through ByteRover, GitHub Copilot provides suggestions that are more aligned with your specific development style and project requirements.
Absolutely. Both GitHub Copilot’s inline suggestions and Copilot Chat benefit from ByteRover’s memory layer, making conversations more contextual and helpful.
With ByteRover team plans, your team’s collective coding patterns become available to everyone’s GitHub Copilot, improving suggestions for the entire development team.

Troubleshooting

Ensure you have the latest VS Code version. Check if your organization allows extension installations. Try installing manually from the VS Code marketplace or contact your IT administrator.
Verify both GitHub Copilot and ByteRover extensions are installed and enabled. Restart VS Code after installation. Check that your GitHub Copilot subscription is active.
Copy the API key exactly from your ByteRover dashboard. Ensure there are no extra spaces. Try regenerating the API key if connection issues persist.
Confirm the ByteRover extension shows as connected in VS Code. Test with a simple storage command. Check your ByteRover account has available memory operations.

Best Practices

Be descriptive when asking Copilot to store code:
"Store this Express.js authentication middleware pattern to ByteRover"
"Save this React custom hook for API calls to ByteRover"
Leverage Copilot Chat for complex pattern storage:
"Analyze this component and store the error boundary pattern to ByteRover"
"Save this database migration strategy to ByteRover for future reference"
Ask Copilot to search your ByteRover memory:
"Find my stored authentication patterns from ByteRover"
"Retrieve database connection examples from ByteRover memory"

What’s Next?

Continue using GitHub Copilot in VS Code, now enhanced with ByteRover’s persistent memory. Store useful patterns and solutions as you code. Copilot will become increasingly personalized and effective at understanding your development style.
Questions? Join our Discord community where GitHub Copilot users share tips and help each other.