How to Use GitHub Copilot to Write Code 10x Faster

If you’ve ever found yourself staring blankly at a code editor, wondering how to implement a feature or fix a bug, you’re not alone. The frustration of trying to write code efficiently can be overwhelming. Enter GitHub Copilot, an AI-powered coding assistant that promises to help you write code significantly faster. But does it really deliver? In this guide, I’ll walk you through how to effectively use GitHub Copilot, share real experiences, and highlight what actually works.

What is GitHub Copilot?

GitHub Copilot is an AI code completion tool that suggests code snippets, functions, and even entire blocks of code as you type. Built on OpenAI’s Codex, it learns from a vast array of publicly available code to provide contextually relevant suggestions.

• Pricing: $10/month or $100/year for individuals; free for students.
• Best for: Developers looking to speed up their coding process, especially for repetitive tasks or boilerplate code.
• Limitations: It doesn’t always understand complex project-specific contexts and can produce incorrect or insecure code.
• Our take: We use GitHub Copilot for generating boilerplate code and exploring new libraries, but we always double-check its suggestions.

Setting Up GitHub Copilot

Prerequisites

• A GitHub account
• Visual Studio Code (VS Code) or JetBrains IDEs
• GitHub Copilot subscription (free for students)

Step-by-Step Setup

1. Install the GitHub Copilot Extension:

   • For VS Code, go to the Extensions Marketplace and search for "GitHub Copilot".
   • Click "Install".

2. Sign In:

   • After installation, you’ll be prompted to sign in with your GitHub account.

3. Get Started:

   • Open a new file and start typing. GitHub Copilot will begin suggesting code as you go.

Example Output

When you start typing a function to fetch data from an API, Copilot might suggest:

async function fetchData(url) {
    const response = await fetch(url);
    const data = await response.json();
    return data;
}

Best Practices for Using GitHub Copilot

1. Start Small

Begin by using Copilot for small functions or repetitive tasks. This is where it shines the most.

2. Review Suggestions

Always review the code suggestions provided by Copilot. It may offer a solution, but it’s up to you to ensure it’s secure and efficient.

3. Use Comments

Writing comments before your code can help Copilot understand the context better. For example:

// Function to calculate the factorial of a number
function factorial(n) {

This can lead to more accurate suggestions.

4. Experiment with Different Languages

Copilot supports many programming languages. If you’re learning a new language, try using Copilot to help you understand syntax and common patterns.

5. Pair Programming with Copilot

Use Copilot as a coding partner. Start coding and let it suggest solutions, but don’t hesitate to make changes or ask it to refine its suggestions.

Common Pitfalls and Troubleshooting

What Could Go Wrong

• Incorrect Suggestions: Sometimes Copilot generates code that doesn’t work as intended. Always test thoroughly.
• Security Issues: It might suggest insecure code practices. Be vigilant about security vulnerabilities.

Solutions

• If you get a suggestion that seems off, try rephrasing your comment or starting a new line. This can help Copilot recalibrate its suggestions.

What’s Next?

Once you’ve got the hang of using GitHub Copilot, consider exploring other AI coding tools to complement your workflow. Here’s a quick comparison of some popular alternatives:

| Tool | Pricing | Best For | Limitations | Our Verdict | |--------------------|----------------------------|------------------------------|---------------------------------------|-----------------------------------| | GitHub Copilot | $10/month | General coding assistance | Context understanding | Great for rapid development | | TabNine | Free + $12/month pro | Autocompletion | Limited to JavaScript and Python | Good for specific languages | | Codeium | Free | Multi-language support | Beta stage, not fully refined | Worth trying for new users | | Kite | Free + $19.90/month pro | Python development | Limited to Python and JavaScript | Solid for Python developers | | Sourcery | Free + $29/month pro | Python code improvement | Focused on Python only | Best for optimizing existing code | | Replit Ghostwriter | $20/month | Collaborative coding | Limited features compared to Copilot | Good for team projects |

Conclusion

Using GitHub Copilot can significantly speed up your coding process, but it’s important to approach it with the right mindset. Start with small tasks, review suggestions critically, and use it as a pair programming tool rather than a crutch.

Start here: If you’re looking to enhance your coding efficiency, I recommend diving into GitHub Copilot and experimenting with its features. You can finish the setup in about 30 minutes and start seeing results immediately.