Ai Coding Tools

How to Use GitHub Copilot to Improve Your Code Quality

By BTW Team4 min read

How to Use GitHub Copilot to Improve Your Code Quality

In 2026, developers are still wrestling with the same old problem: how to produce high-quality code efficiently. Enter GitHub Copilot. This AI-powered pair programmer can suggest code snippets, help you debug, and even provide documentation as you type. But how do you actually leverage Copilot to genuinely improve your code quality, rather than just relying on it as a crutch? In this guide, I’ll walk you through practical steps to make the most of GitHub Copilot, share our experiences, and highlight some limitations to watch out for.

What is GitHub Copilot?

GitHub Copilot is an AI tool developed by GitHub and OpenAI that provides real-time code suggestions and auto-completions based on the context of your project. It’s like having a coding buddy who’s always there to help, but it’s essential to understand its capabilities and limitations rather than just using it blindly.

Pricing Breakdown

  • Free Tier: Limited features for individual users.
  • Pro: $10/month for enhanced features, including access to more programming languages and frameworks.
  • Enterprise: Custom pricing, ideal for teams needing advanced integrations and security.

Best For:

  • Solo developers and indie hackers looking to speed up their coding process.
  • Teams that want to maintain consistent coding standards.

Limitations:

  • It can sometimes suggest incorrect or suboptimal code. Always review suggestions critically.
  • Limited context understanding for complex projects.

Setting Up GitHub Copilot

Prerequisites

  • A GitHub account (free or pro).
  • Visual Studio Code (VS Code) installed.
  • GitHub Copilot extension installed in VS Code.

Time Estimate

You can set up GitHub Copilot in about 15 minutes.

Step-by-Step Guide to Improving Code Quality with GitHub Copilot

1. Install GitHub Copilot

  • Open VS Code.
  • Go to the Extensions view (Ctrl+Shift+X).
  • Search for "GitHub Copilot" and click "Install".
  • Sign in with your GitHub account.

2. Start Coding

Begin typing in a code file. Copilot will automatically suggest completions. Accept suggestions by pressing Tab or Enter.

3. Use Comments for Context

When you want Copilot to generate specific code, use comments to indicate your intent. For example:

// Function to calculate Fibonacci sequence

Copilot will generate a function based on this comment.

4. Review Suggestions

Always review the code that Copilot suggests. We’ve found that while it can produce decent code, it sometimes misses edge cases or best practices.

5. Refactor with Confidence

You can use Copilot to suggest refactorings. For example, if you have a long function, you can comment:

// Refactor this function into smaller parts

Copilot will provide suggestions on how to break it down.

6. Document Your Code

Copilot can help with comments and documentation. Use comments like:

// This function does X

And Copilot can generate more descriptive comments.

7. Test and Iterate

After implementing suggestions, run your tests. We recommend writing tests for any new code generated by Copilot. This ensures that the code behaves as expected.

Troubleshooting Common Issues

  • Copilot Suggests Wrong Code: If you notice incorrect suggestions, try providing more context in your comments. Sometimes a little extra information helps.
  • Performance Issues: If Copilot is slow, ensure you have a stable internet connection. It relies on cloud processing.

What’s Next?

Once you’ve integrated Copilot into your workflow, consider experimenting with these tools to complement your coding experience:

| Tool | Pricing | Best For | Limitations | Our Take | |-------------------|-----------------------------|-------------------------------|----------------------------------|----------------------------------| | GitHub Copilot | Free tier + $10/mo pro | Code suggestions | May suggest incorrect code | We use this for rapid prototyping | | SonarQube | Free tier + $150/mo pro | Code quality analysis | Can be complex to set up | We don't use this because of setup time | | ESLint | Free | JavaScript linting | Limited to JavaScript | We use this for enforcing style | | Prettier | Free | Code formatting | Limited language support | We use this for formatting | | CodeClimate | Starts at $16/mo | Code quality metrics | Expensive for small teams | We don't use this due to cost |

Conclusion

To truly improve your code quality with GitHub Copilot, utilize it as a tool for augmentation, not replacement. Start with clear comments, review suggestions critically, and integrate other tools for code quality metrics. If you’re just getting started, focus on the basics of Copilot, then experiment with the additional tools mentioned above.

What We Actually Use

In our day-to-day, we rely heavily on GitHub Copilot for rapid prototyping and initial drafts of functions. We also use ESLint for JavaScript linting and Prettier for code formatting to ensure our code is clean and consistent.

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