How to Use GitHub Copilot to Write Code 5x Faster
How to Use GitHub Copilot to Write Code 5x Faster
If you’re a solo founder or indie hacker, you know how precious time is when it comes to coding. Every minute spent debugging or writing boilerplate code is a minute you could have spent building your next big feature. Enter GitHub Copilot—a tool that promises to supercharge your coding efficiency. In this guide, I’ll share how you can leverage GitHub Copilot to write code up to five times faster, based on our experience in 2026.
What is GitHub Copilot?
GitHub Copilot is an AI-powered code completion tool that suggests entire lines or blocks of code as you type, working seamlessly within your favorite IDE. It’s built on OpenAI’s Codex, and it's trained on a vast amount of publicly available code, making it a powerful assistant for both beginners and seasoned developers.
Pricing Breakdown
- Free Tier: Limited suggestions and basic features.
- Individual Plan: $10/month with full features.
- Business Plan: $19/month per user with enhanced security and management features.
Best For
- Solo Founders & Indie Hackers: Great for reducing the time spent on repetitive tasks.
- New Developers: Ideal for learning best practices and getting suggestions.
- Teams: Helps maintain coding standards across collaborative projects.
Limitations
- Context Awareness: Sometimes it misses the context, leading to irrelevant suggestions.
- Security Risks: There is potential for generating insecure code if not carefully reviewed.
- Dependency on Internet: Requires an active internet connection to function effectively.
Prerequisites
Before diving in, make sure you have:
- A GitHub account (free).
- Visual Studio Code or JetBrains IDE installed.
- GitHub Copilot extension installed in your IDE.
- Basic understanding of the programming language you’ll be using.
How to Get Started with GitHub Copilot
Step 1: Install the Extension
Installing GitHub Copilot is straightforward:
- Open your IDE (Visual Studio Code recommended).
- Go to the Extensions Marketplace.
- Search for "GitHub Copilot" and click "Install."
Expected Output: The Copilot icon will appear in your IDE, indicating it's ready to use.
Step 2: Start Coding
Open a new file and begin writing code. As you type, Copilot will automatically suggest completions. For example, if you start writing a function signature, Copilot will suggest the entire function body.
Step 3: Accept or Modify Suggestions
You can either accept the suggestion by pressing Tab or modify it to better fit your needs. I find that sometimes tweaking the suggestion leads to better results.
Step 4: Review and Test
Always review the code suggested by Copilot. Run tests to ensure that it behaves as expected. This step is crucial to avoid security issues or bugs in your application.
What Could Go Wrong
- Irrelevant Suggestions: Sometimes, the suggestions may not fit your context. If you find yourself rejecting too many suggestions, it might be a sign to refine your prompts.
- Code Quality: Not all suggestions are optimal. Always validate and test before deploying.
Real-World Experience
In our experience, using GitHub Copilot has cut down our coding time significantly. For instance, we recently worked on a feature that involved complex API integrations. With Copilot, we were able to generate boilerplate code in a matter of minutes rather than hours, allowing us to focus on unique aspects of our application.
What We Actually Use
While GitHub Copilot is our go-to for code suggestions, we also complement it with:
- Postman: For API testing ($12/month).
- Jira: For project management ($7/month per user).
- Slack: For team communication (Free tier available).
Conclusion: Start Here
If you’re looking to speed up your coding process, GitHub Copilot is worth trying. Start with the Individual Plan at $10/month to access its full capabilities and see how it can fit into your workflow. Remember to review the generated code thoroughly, as it’s not a magic bullet, but it can certainly help you get more done in less time.
Follow Our Building Journey
Weekly podcast episodes on tools we're testing, products we're shipping, and lessons from building in public.