How to Use GitHub Copilot to Increase Your Coding Speed by 50% in 1 Month

As a solo founder or indie hacker, you often find yourself juggling multiple roles. One of the biggest pain points is the time it takes to write and debug code. What if I told you that you could potentially increase your coding speed by 50% in just one month using GitHub Copilot? Sounds too good to be true, right? Well, let’s dive into the specifics of how you can leverage this tool to supercharge your coding productivity.

What is GitHub Copilot?

GitHub Copilot is an AI-powered code completion tool developed by GitHub in collaboration with OpenAI. It suggests entire lines or blocks of code as you type, helping you write code faster and with fewer errors.

Pricing: GitHub Copilot costs $10/month or $100/year, with a free trial available for the first 60 days.

Prerequisites

Before we get started, make sure you have the following:

• A GitHub account (free)
• Visual Studio Code installed (free)
• Basic understanding of programming (preferably in JavaScript, Python, or TypeScript)

Step-by-Step Guide to Boosting Your Coding Speed

Step 1: Setting Up GitHub Copilot

1. Install GitHub Copilot:

   • Open Visual Studio Code.
   • Go to Extensions (Ctrl+Shift+X) and search for "GitHub Copilot".
   • Click "Install".

2. Sign in to GitHub:

   • After installation, you’ll be prompted to sign in to your GitHub account.
   • Authorize the Copilot extension.

Expected Output: You should see a confirmation that GitHub Copilot is active in your editor.

Step 2: Familiarize Yourself with Suggestions

Take a week to get accustomed to how Copilot works. Start small:

• Write simple functions and see how Copilot suggests completions.
• Use comments to describe what you want to achieve, and see how accurately Copilot responds.

Step 3: Integrate Copilot into Your Daily Workflow

After a week of practice, start integrating Copilot into your actual projects. Here’s how:

• Use Copilot for boilerplate code: When starting a new project, let Copilot generate the initial setup.
• Refactor existing code: Select a block of code and ask Copilot for suggestions on improvements.

Step 4: Measure Your Speed

At the end of week two, measure your coding speed. Keep track of:

• The number of lines of code written per hour.
• Time spent debugging or writing tests.

Step 5: Optimize Copilot Usage

By week three, you should have a good rhythm. To optimize further:

• Start using keyboard shortcuts to accept suggestions quickly.
• Explore Copilot Labs for advanced features like testing and documentation generation.

Step 6: Evaluate and Iterate

In the final week, evaluate your progress:

• Have you increased your coding speed by 50%?
• What features of Copilot were most beneficial?
• What limitations did you encounter?

Troubleshooting Common Issues

• Suggestions are irrelevant: Try being more specific in your comments. The more context you provide, the better the suggestions.
• Performance issues: If Copilot feels slow, check your internet connection. It requires a stable connection to fetch suggestions.

What’s Next?

Once you’ve integrated Copilot, consider exploring other AI tools that can complement your workflow. Here are some worth checking out:

| Tool | What It Does | Pricing | Best For | Limitations | Our Take | |-----------------------|------------------------------------------------|-----------------------|---------------------------|--------------------------------------|----------------------------------| | Tabnine | AI code completion for multiple languages | Free tier + $12/mo | Multi-language projects | Limited to code suggestions | We use it for Python projects | | Codeium | AI-powered coding assistant | Free | Quick code snippets | Less accurate than Copilot | We don’t use it due to accuracy | | Sourcery | Refactoring suggestions for Python | Free tier + $12/mo | Python development | Limited to Python | We use it for quick fixes | | Replit | Online IDE with AI features | Free tier + $7/mo | Collaborative coding | Less control over environment | We don’t use it for serious work | | Kite | AI-powered coding assistant for Python & JS | Free | Beginner-friendly coding | Not as robust as Copilot | We don’t use it because of features| | Codex | OpenAI's model for code generation | Free (limited access) | Experimentation | Requires API integration | We don’t use it for production |

What We Actually Use

In our experience, we primarily rely on GitHub Copilot for most coding tasks. We also use Tabnine for Python projects where we need a multi-language support.

Conclusion

If you’re looking to increase your coding speed, start with GitHub Copilot. It’s a practical tool that can help you write code faster and with fewer bugs. Follow the steps outlined here, and you could see a significant improvement in your productivity in just one month.

Start here: Sign up for GitHub Copilot and install it in your development environment today.