How to Use GitHub Copilot to Improve Your Coding in 30 Days

If you've ever stared at a blank screen, wishing for a coding assistant to magically generate the next line of code, you're not alone. As indie hackers and solo founders, we often juggle multiple roles, and finding ways to improve our coding efficiency is crucial. Enter GitHub Copilot, a tool that leverages AI to suggest code snippets and functions as you type. But how do you actually integrate it into your daily routine to see tangible improvements over 30 days? Let’s break it down.

What is GitHub Copilot?

GitHub Copilot is an AI-powered coding assistant that provides real-time code suggestions directly in your IDE. It understands the context of your code and can offer everything from simple lines to complex functions.

• Pricing: $10/month or $100/year after a free trial.
• Best for: Developers looking to speed up coding and learn new programming patterns.
• Limitations: It may suggest code that’s not optimal or secure, and it doesn’t replace the need for thorough testing.
• Our take: We’ve used Copilot during our recent projects, and it has significantly reduced our coding time, but we always double-check its suggestions.

Day 1-7: Getting Started with GitHub Copilot

Prerequisites:

• A GitHub account
• Visual Studio Code (VS Code) installed
• GitHub Copilot extension installed

Step-by-step:

1. Sign up for GitHub Copilot: Start with a free trial to test its capabilities.
2. Install the extension: Go to the Extensions Marketplace in VS Code and search for "GitHub Copilot."
3. Familiarize yourself with basic commands: Use Ctrl + Enter (or Cmd + Enter on Mac) to trigger suggestions.

Expected outputs: You should see inline suggestions as you type, which will help you understand how Copilot interprets your code.

Day 8-14: Enhancing Your Workflow

Now that you’re comfortable, it's time to integrate Copilot into your coding routine more strategically.

Use Cases:

• Code Completion: Start typing a function and let Copilot complete it.
• Learning New Frameworks: If you're trying a new library, ask Copilot for examples.
• Refactoring: Use it to suggest cleaner code alternatives for existing functions.

Day 15-21: Advanced Features and Best Practices

As you become more acquainted with Copilot, explore its advanced functionalities:

1. Contextual Suggestions: Provide comments in your code describing what you want to achieve, and let Copilot generate the corresponding code.
2. Multi-line Suggestions: If you're working on complex algorithms, prompt Copilot to suggest longer pieces of code.

Limitations: Keep in mind that Copilot can sometimes generate incorrect or insecure code. Always review and test its suggestions.

Day 22-28: Collaborating with Copilot

GitHub Copilot isn't just a solo tool; it can enhance team collaborations too.

• Pair Programming: Use Copilot to assist during pair programming sessions, giving you both a second opinion on coding approaches.
• Code Reviews: Integrate Copilot into your code review process to suggest improvements or identify potential issues.

Day 29-30: Reflect and Iterate

At the end of the month, reflect on your coding journey with Copilot:

• What worked: Identify the features that saved you the most time.
• What didn’t: Document areas where Copilot’s suggestions fell short.
• Next Steps: Plan how you’ll continue using Copilot in future projects.

Conclusion: Start Here

To truly harness the power of GitHub Copilot, dedicate your first month to understanding its capabilities and limitations. Set aside time daily to practice and implement its suggestions. By the end of 30 days, you should notice a marked improvement in your coding efficiency and skills.

What We Actually Use: In our experience, we primarily use GitHub Copilot for generating boilerplate code and exploring new libraries. It’s a powerful tool, but we always pair it with thorough testing and code reviews.