How to Use GitHub Copilot to Double Your Coding Productivity in 30 Days

If you're anything like me, you know the feeling of staring at a blank code editor, waiting for inspiration to strike. It’s frustrating, especially when you have deadlines looming. Enter GitHub Copilot: an AI-powered coding assistant that can help you write code faster and more efficiently. In this article, I’ll walk you through how to effectively use GitHub Copilot over the next 30 days to double your coding productivity.

What is GitHub Copilot?

GitHub Copilot is an AI tool developed by GitHub and OpenAI that suggests code snippets and entire functions as you type. It's like having a coding partner who’s always there to help, offering solutions based on the context of your work.

Pricing Breakdown

• Free Trial: 30 days free
• Individual Plan: $10/month
• Business Plan: $19/month per user

Best for: Individual developers and small teams looking to speed up their coding process.

Limitations: Copilot might suggest code that isn’t optimal or up-to-date with best practices. It also requires an internet connection and may not work perfectly with all programming languages.

Our take: We’ve been using GitHub Copilot for a few months now, and while it’s not perfect, it significantly reduces the time we spend coding repetitive tasks.

Day 1-7: Getting Started with GitHub Copilot

Prerequisites

1. GitHub Account: You’ll need an account to access Copilot.
2. Visual Studio Code: Install this popular code editor.
3. GitHub Copilot Extension: Download and install the Copilot extension from the Visual Studio Marketplace.

Step-by-Step Setup

1. Sign up for GitHub Copilot and start your free trial.
2. Install Visual Studio Code if you haven’t already.
3. Add the GitHub Copilot extension via the Extensions Marketplace.
4. Open a new project or an existing one to see Copilot in action.

Expected Output

By the end of the first week, you should be comfortable with basic suggestions and starting to see productivity gains in your coding tasks.

Day 8-14: Learning to Trust Copilot’s Suggestions

Tips for Maximizing Output

• Start with comments: Write a comment describing what you want to achieve. Copilot is great at interpreting these and suggesting relevant code.
• Explore different languages: Copilot supports multiple languages, so try it out with different coding languages you use.
• Review suggestions critically: Always review the generated code to ensure it fits your needs and is secure.

Troubleshooting

If Copilot isn't suggesting relevant code:

• Ensure your comments are clear and descriptive.
• Restart Visual Studio Code to refresh the extension.

Day 15-21: Integrating Copilot into Your Workflow

Building a Project with Copilot

1. Choose a small project: This could be a simple web app or a command-line tool.
2. Outline your features: Write down what you want to build.
3. Let Copilot assist: As you code, let Copilot suggest functions and methods to implement your features.

Expected Output

By the end of week three, you should have a working prototype of your project with much of the code generated through Copilot.

Day 22-30: Refining Your Skills

Advanced Techniques

• Pair programming with Copilot: Treat Copilot like a coding partner. Discuss your thought process out loud (or in comments) and see how it responds.
• Use Copilot for tests: Write tests for your code and see how well Copilot generates test cases.

What Could Go Wrong

Sometimes, Copilot might generate code that’s outdated or insecure. Always validate and test the generated code thoroughly.

Conclusion: Start Here

If you’re looking to double your coding productivity in just 30 days, GitHub Copilot is a powerful tool that can help you achieve that goal. Start by setting up your environment, practicing with suggestions, and integrating it into your workflow. Remember, it’s not about letting Copilot do all the work but rather using it to augment your skills.

What We Actually Use

In our experience, we rely on GitHub Copilot for most of our coding tasks, especially when building prototypes or working on repetitive tasks. It’s not perfect, but it has saved us countless hours.