Ai Coding Tools

How to Use GitHub Copilot to Increase Your Coding Output by 50% in a Month

By BTW Team4 min read

How to Use GitHub Copilot to Increase Your Coding Output by 50% in a Month

If you’re a solo founder or indie hacker, you know the struggle of balancing coding with everything else that comes with building a product. Time is your most precious resource, and every minute saved on coding can be redirected to other critical tasks. Enter GitHub Copilot—a tool that promises to boost your coding output significantly. But does it really deliver? In this guide, I’ll walk you through how to effectively leverage GitHub Copilot to potentially increase your coding output by 50% within just 30 days.

What is GitHub Copilot?

GitHub Copilot is an AI-powered code completion tool that suggests entire lines or blocks of code as you type. It’s designed to help developers code faster by reducing the amount of boilerplate code they need to write.

Pricing Breakdown

  • Free Tier: Limited features, primarily for individual use.
  • $10/month: Personal plan with full features for individual developers.
  • $19/month: Team plan offering collaborative features and priority support.

Best For

  • Developers looking to speed up repetitive coding tasks.
  • Beginners needing guidance on syntax and structure.

Limitations

  • It can sometimes suggest incorrect or inefficient code.
  • Contextual understanding can falter with complex tasks.

Our Take

We’ve been using GitHub Copilot for a few months now, and while it’s not perfect, it definitely helps us get through repetitive tasks faster.

Setting Up GitHub Copilot in 30 Minutes

Prerequisites

  1. A GitHub account (free or paid).
  2. Visual Studio Code installed.
  3. GitHub Copilot extension added to your VS Code.

Step-by-Step Setup

  1. Install the GitHub Copilot Extension: Open Visual Studio Code, go to the Extensions panel, and search for "GitHub Copilot". Click "Install".
  2. Sign In: After installation, sign in with your GitHub account to activate the extension.
  3. Start Coding: Open a new project or an existing one. Start typing code, and watch Copilot suggest completions.

Expected Outputs

  • Copilot will suggest code snippets based on the context you’re working in.
  • Expect to see faster completion of functions, classes, and even comments.

How to Maximize Your Output

1. Use Copilot for Boilerplate Code

Instead of writing repetitive code, let Copilot handle the boilerplate. For instance, if you’re creating a REST API, start typing the endpoint function, and Copilot can generate the rest.

2. Experiment with Different Prompts

Sometimes, the way you phrase your comments can yield different suggestions. If a suggestion doesn’t fit, try rephrasing your comment to give Copilot more context.

3. Code Reviews with Copilot

Use Copilot to review your code. It can suggest improvements or alternative approaches that you might not have considered.

4. Pair Programming with Copilot

Treat Copilot as your pair programmer. Discuss what you’re trying to achieve in comments, and let it suggest the implementation.

5. Daily Coding Challenges

Set aside 30 minutes each day for coding challenges. Use Copilot to assist you, aiming to complete more challenges than you would normally manage alone.

6. Track Your Progress

Use a simple spreadsheet or a tool like Notion to track the number of lines of code you write each day. Aim for a 50% increase by the end of the month.

7. Troubleshooting Common Issues

If Copilot suggests irrelevant code:

  • Ensure your comments are clear and concise.
  • If it continues to struggle, try restarting VS Code or reloading the extension.

What’s Next?

After you’ve integrated GitHub Copilot into your workflow, consider exploring other AI tools that can complement your coding process. For example, tools like Tabnine or Codeium can also provide code suggestions, but they work differently and might suit specific use cases better.

Conclusion: Start Here

To kickstart your productivity journey, begin by installing GitHub Copilot today. Spend the next month experimenting with its features and tracking your coding output. Remember, the goal is to free up your time so you can focus on building and shipping your product.

What We Actually Use:

  • GitHub Copilot: For code suggestions and boilerplate code generation.
  • Notion: For tracking productivity and managing tasks.
  • Slack: For team communication and quick feedback loops.

By systematically utilizing GitHub Copilot, you can truly enhance your coding efficiency and output.

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