Ai Coding Tools

How to Use GitHub Copilot to Improve Code Quality in 30 Minutes

By BTW Team4 min read

How to Use GitHub Copilot to Improve Code Quality in 30 Minutes

If you're a solo founder or indie hacker, you know that coding can be a double-edged sword. On one hand, it’s the backbone of your project; on the other, it can be a source of frustration and bugs. Enter GitHub Copilot. This AI-powered coding assistant can help you enhance your code quality significantly, and you can get started in just 30 minutes. Let’s dive in.

Prerequisites: What You Need to Get Started

Before you begin, make sure you have the following:

  1. GitHub Account: You’ll need this to access Copilot.
  2. Visual Studio Code: Copilot integrates seamlessly with this IDE.
  3. GitHub Copilot Subscription: As of July 2026, it costs $10/month after a free trial.
  4. Basic Understanding of JavaScript or Python: This guide will focus on these languages.

Step 1: Setting Up GitHub Copilot

  1. Install Visual Studio Code: If you haven’t already, download and install VS Code.
  2. Install GitHub Copilot Extension: Go to the Extensions view in VS Code (Ctrl+Shift+X), search for "GitHub Copilot," and click "Install."
  3. Sign In: Open the command palette (Ctrl+Shift+P) and type "GitHub: Sign in," then follow the prompts.
  4. Enable Copilot: Once installed, make sure Copilot is enabled in your settings.

Expected Output: You should see Copilot suggestions while coding.

Step 2: Writing Code with Copilot

  1. Start Coding: Open a new file and begin writing a function. For example, type function calculateSum(a, b).
  2. Review Suggestions: Copilot will automatically suggest code completions. Use the arrow keys to navigate through suggestions.
  3. Accept Suggestions: Press Tab to accept a suggestion. Make sure to review the code for accuracy and style.

Expected Output: A complete function for calculating the sum of two numbers.

Step 3: Improving Code Quality

  1. Refactor Existing Code: Copy-paste your existing code into a new file. Start typing comments that describe what each part does. For example, // This function calculates the sum.
  2. Let Copilot Assist: As you write comments, Copilot will suggest refactoring options. Accept the ones that improve clarity and efficiency.
  3. Run Tests: After implementing Copilot’s suggestions, run your unit tests to ensure everything works as expected.

Expected Output: Cleaner, more efficient code that passes all tests.

Troubleshooting: What Could Go Wrong

  1. Incorrect Suggestions: Sometimes, Copilot might suggest code that doesn't fit your needs. Always review suggestions carefully.
  2. Integration Issues: If Copilot isn’t working, ensure you’re logged in and that the extension is enabled.
  3. Performance Lag: If VS Code is slow, it may be due to other extensions. Try disabling unnecessary ones.

What’s Next: Level Up Your Skills

Once you’re comfortable with Copilot, consider exploring these next steps:

  1. Experiment with Different Languages: Copilot supports many programming languages, including TypeScript and Go.
  2. Learn Advanced Features: Check out Copilot's documentation for advanced usage, like using it for documentation generation.
  3. Explore Other AI Tools: If Copilot doesn't meet all your needs, consider tools like Tabnine or Kite for additional AI coding support.

Conclusion: Start Here

Using GitHub Copilot can significantly improve your code quality in a short amount of time. By following these steps, you can set it up and start reaping the benefits within 30 minutes. Remember, it’s not a replacement for your coding skills, but a valuable assistant that can help you write better code faster.

Pricing Breakdown

| Tool | Pricing | Best For | Limitations | Our Take | |-------------------|------------------------------|------------------------------|--------------------------------------|-------------------------------| | GitHub Copilot | $10/month after free trial | Code suggestions and refactoring | May suggest incorrect code | We use it for quick code enhancements. | | Tabnine | Free tier + $12/mo pro | AI code completions | Limited compared to Copilot | We don’t use it because Copilot is more robust. | | Kite | Free + $16.60/mo pro | Python-specific suggestions | Less versatile than Copilot | We haven’t tried it; Copilot fits our workflow. | | Sourcery | Free + $12/mo pro | Python code improvement | Limited to Python | We use this for Python-specific refactoring. | | DeepCode | Free + $25/mo pro | Code review | Not as integrated as Copilot | We don’t use it, prefer Copilot’s seamless integration. |

What We Actually Use

We primarily use GitHub Copilot for its robust code suggestions and refactoring capabilities, especially when working with JavaScript and Python. For specific Python projects, we sometimes lean on Sourcery for its targeted improvements.

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