How to Use GitHub Copilot to Increase Your Coding Speed by 50% in Just 2 Hours
How to Use GitHub Copilot to Increase Your Coding Speed by 50% in Just 2 Hours
If you're a solo founder or indie hacker, you know that time is your most precious resource. Spending hours on repetitive coding tasks can drain your energy and slow down your progress. Enter GitHub Copilot, an AI-powered coding assistant designed to help you code faster and more efficiently. In this guide, I’ll show you how to leverage Copilot to potentially boost your coding speed by 50% in just 2 hours.
Prerequisites to Get Started
Before diving in, make sure you have the following:
- GitHub Account: You need to sign up for GitHub if you don’t have an account already.
- Visual Studio Code: Download and install VS Code, as Copilot integrates seamlessly with it.
- GitHub Copilot Subscription: Copilot is $10/month or $100/year as of July 2026. You can start with a free trial to test it out.
Step-by-Step Setup
Step 1: Install GitHub Copilot
- Open Visual Studio Code.
- Go to the Extensions tab (Ctrl+Shift+X).
- Search for "GitHub Copilot" and click "Install".
- Log in with your GitHub account and authorize the extension.
Expected Output: You should see a Copilot icon in the bottom right corner of VS Code, indicating that it’s active.
Step 2: Familiarize Yourself with Copilot's Features
Spend about 30 minutes exploring the following features:
- Code Suggestions: As you type, Copilot suggests code snippets and entire functions.
- Code Completion: It helps complete lines of code based on context.
- Documentation Generation: It can generate comments and documentation for your code.
Expected Output: You’ll get a feel for how Copilot can assist you in real-time coding scenarios.
Step 3: Implement Copilot in Your Workflow
Start a new project or open an existing one. Here’s how you can effectively use Copilot:
- Write Comments First: Describe what you want to achieve in plain English. For instance, “Create a function that fetches user data from an API.”
- Let Copilot Suggest: After typing the comment, hit “Enter” and watch Copilot generate the code.
- Review and Edit: Don’t accept suggestions blindly. Review the generated code and make necessary adjustments.
Expected Output: You should see a noticeable reduction in the time taken to write functions and handle repetitive tasks.
Step 4: Optimize with Shortcuts
Learn the keyboard shortcuts to maximize your efficiency:
- Accept Suggestion: Tab
- Cycle through Suggestions: Ctrl + ] / Ctrl + [
- Request New Suggestions: Ctrl + Enter
Expected Output: You’ll be able to navigate suggestions faster, improving your workflow.
Troubleshooting Common Issues
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Issue: Copilot doesn't suggest anything.
- Solution: Ensure you’re connected to the internet and that Copilot is enabled in your settings.
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Issue: Suggestions are irrelevant.
- Solution: Provide more context in your comments or code. The better the context, the better the suggestions.
What's Next?
After you’ve gotten comfortable with Copilot, consider integrating it with other tools to further enhance your coding process. For example, using it alongside project management tools like Trello or Notion can streamline your workflow even more.
Conclusion: Start Here
To start boosting your coding speed with GitHub Copilot, spend the next couple of hours following the steps above. By the end, you should see a significant increase in your productivity, allowing you to focus on building rather than coding.
What We Actually Use
In our experience, GitHub Copilot has become a staple in our development toolkit. While it doesn’t replace the need for solid coding skills, it certainly accelerates the process. If you’re serious about maximizing your coding efficiency, give Copilot a shot.
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