How to Use GitHub Copilot to Increase Your Productivity by 50% in 30 Days

If you're a solo founder, indie hacker, or side project builder, you know that coding can be a time-consuming endeavor. Enter GitHub Copilot, an AI-powered coding assistant that promises to boost your productivity by up to 50%. Sounds great, right? But how do you actually leverage it for real gains? In this guide, I'll walk you through a practical 30-day plan to integrate GitHub Copilot into your workflow effectively.

What is GitHub Copilot?

GitHub Copilot is an AI tool that assists developers by suggesting code snippets and entire functions as you type. It’s like having a pair of extra hands that can help you with suggestions based on the context of your code.

• Pricing: $10/mo for individuals, $19/mo for businesses after a 60-day free trial.
• Best for: Developers looking to speed up their coding process.
• Limitations: It’s not perfect and may generate incorrect suggestions or lack understanding of complex business logic.
• Our take: We use Copilot for boilerplate code and routine tasks, but we still double-check the outputs.

Prerequisites

Before diving in, ensure you have:

• A GitHub account (free)
• A code editor like Visual Studio Code (VS Code)
• GitHub Copilot installed as an extension in your editor

Step-by-Step Plan for 30 Days

Week 1: Getting Familiar with Copilot

1. Installation:

   • Follow the official installation guide.
   • Set up your VS Code with the Copilot extension.

2. Basic Usage:

   • Start coding a simple project. As you type, notice how Copilot suggests code.
   • Accept suggestions by pressing Tab or Enter.

3. Experiment with Comments:

   • Write comments describing functions before coding them. For example, type // Function to calculate total price and see what Copilot suggests.

Week 2: Integrate into Daily Workflows

1. Daily Coding Tasks:

   • Spend at least 1 hour coding each day, using Copilot for repetitive tasks like setting up functions, classes, or API calls.
   • Track the time saved. Aim for at least a 20% reduction in coding time.

2. Explore Advanced Features:

   • Learn to leverage Copilot for more complex tasks like writing tests or debugging.
   • Use the Ctrl + Enter shortcut to see multiple suggestions and choose the best one.

Week 3: Fine-Tuning Your Usage

1. Feedback Loop:

   • Provide feedback on suggestions that are incorrect to help improve Copilot’s performance.
   • Start using it for more advanced programming tasks and document your results.

2. Pair Programming:

   • Try pairing with Copilot. Write a piece of code, let Copilot suggest improvements, and see if you can refine your approach.

Week 4: Measure Your Productivity

1. Track Metrics:

   • At the end of the month, review your coding time. Compare the time spent on tasks before and after using Copilot.
   • Aim for a 50% increase in productivity based on your own metrics.

2. Review and Iterate:

   • Identify areas where Copilot helped the most. Share these insights with your team or community, like on Twitter or in your indie hacker circles.

Troubleshooting Common Issues

• Inaccurate Suggestions: Sometimes Copilot suggests code that doesn’t fit your context. Double-check it!
• Learning Curve: It may take time to get used to integrating Copilot into your workflow. Stick with it!

What’s Next?

After 30 days, continue to use GitHub Copilot for your projects. Experiment with different coding styles and tasks to see how it can assist you further.

What We Actually Use

In our stack, we leverage GitHub Copilot primarily for:

• Boilerplate code generation
• API integrations
• Writing tests

However, we also use other tools in conjunction to maximize our productivity, like:

| Tool | What it does | Pricing | Best for | Limitations | Our take | |----------------|----------------------------------|---------------------|-----------------------------|----------------------------------|-----------------------------------| | GitHub Copilot | AI coding suggestions | $10/mo | Speeding up coding tasks | Not always accurate | Great for boilerplate, double-check outputs | | Postman | API testing and documentation | Free tier + $12/mo | Testing APIs | Limited to API workflows | Essential for API-heavy projects | | Figma | Design and prototyping | Free tier + $12/mo | UI/UX design | Not code-focused | Great for visual work | | Trello | Project management | Free tier + $10/mo | Task organization | Limited features in free tier | Useful for keeping track of tasks | | Slack | Team communication | Free tier + $6.67/mo| Team collaboration | Limited integrations with free tier| Vital for team updates |

Conclusion

Start with GitHub Copilot today and follow our 30-day plan to see real gains in your productivity. You might not hit the 50% mark immediately, but even a 20-30% increase is significant for solo builders like us.