How to Use GitHub Copilot in 5 Steps to Improve Your Code Quality

As a solo founder or indie hacker, your time is precious, and writing quality code is crucial for your project's success. Enter GitHub Copilot. This AI-powered coding assistant can help you write better code faster, but how do you actually leverage it to improve your code quality? Let's dive into a practical, step-by-step guide based on our real experiences.

Time Estimate

You can finish this setup in about 1 hour, depending on your familiarity with GitHub and coding environments.

Prerequisites

• A GitHub account (free)
• A code editor that supports GitHub Copilot (like Visual Studio Code)
• Basic knowledge of JavaScript, Python, or another supported language

Step 1: Install GitHub Copilot

To get started, you'll need to install GitHub Copilot in your code editor.

1. Open Visual Studio Code.
2. Go to the Extensions panel (or press Ctrl+Shift+X).
3. Search for "GitHub Copilot" and click "Install."

Expected Output

Once installed, you'll see a Copilot icon in your sidebar, indicating it's ready to assist you.

Step 2: Enable GitHub Copilot

After installation, you'll need to enable Copilot.

1. Open any JavaScript or Python file.
2. Start typing a function or comment describing what you want to do.
3. GitHub Copilot will automatically suggest code snippets.

Expected Output

You should see inline suggestions pop up as you type. You can accept a suggestion by pressing Tab.

Step 3: Refine Suggestions for Code Quality

While GitHub Copilot can generate code quickly, it's essential to refine those suggestions to improve quality.

1. Review the suggestions carefully.
2. Customize the generated code to fit your project's standards and requirements.
3. Use comments to guide Copilot for more accurate outputs (e.g., "Create a function to validate email addresses").

Expected Output

You’ll have tailored code snippets that align with your coding style and project needs.

Step 4: Use Copilot for Testing and Documentation

GitHub Copilot can also help you write tests and documentation.

1. Write a comment like "// Write unit tests for this function."
2. Accept the suggestions that Copilot generates for your test cases.
3. For documentation, start a comment with "Generate documentation for..." to create descriptive comments for your functions.

Expected Output

You should have well-documented code and solid test cases that enhance your code's maintainability.

Step 5: Iterate and Learn from Copilot's Suggestions

As you use GitHub Copilot, take note of what it suggests and how it aligns with best practices.

1. Keep a record of the suggestions you accept and those you reject.
2. Analyze why certain suggestions work better for your project.
3. Use this feedback loop to improve your coding skills over time.

Expected Output

Over time, you’ll notice an improvement in your code quality and a deeper understanding of coding best practices.

Troubleshooting Common Issues

• Suggestions are not relevant: Ensure you’re writing clear comments and providing enough context.
• Performance issues: If Copilot is slow, check your internet connection and ensure your editor is up-to-date.

What's Next

Once you’re comfortable with GitHub Copilot, consider exploring additional AI coding tools that can complement its capabilities. Tools like TabNine and Codeium can provide alternative suggestions and enhance your coding experience.

Conclusion: Start Here

To improve your code quality significantly, start by installing and integrating GitHub Copilot into your workflow. Follow the steps outlined above, and you’ll find yourself writing better code in no time. Remember, the key is to iteratively learn from the suggestions and refine them to fit your unique needs.

What We Actually Use

In our experience, we primarily use GitHub Copilot for generating boilerplate code and writing tests. While it’s not perfect and sometimes suggests irrelevant snippets, it saves us time and helps maintain our code quality.