How to Use GitHub Copilot to Improve Your Coding Speed in Just 2 Weeks

If you’ve been spending hours on coding tasks that feel repetitive or mundane, you’re not alone. Many indie hackers and solo founders find themselves bogged down in the nitty-gritty of coding when they could be focusing on building and shipping their products. Enter GitHub Copilot—a tool that promises to turbocharge your coding speed. In this guide, I’ll show you how to effectively leverage GitHub Copilot to significantly improve your coding speed in just two weeks.

What is GitHub Copilot?

GitHub Copilot is an AI-powered code completion tool that uses machine learning to suggest entire lines or blocks of code as you type. It's like having a pair of smart coding hands that help you write code faster and more efficiently.

• Pricing: $10/month for individuals, $19/month for businesses (as of June 2026)
• Best for: Developers looking to speed up their coding process and reduce boilerplate code.
• Limitations: It might not always understand complex business logic or specific frameworks perfectly, leading to occasional inaccuracies.
• Our take: We've found that Copilot shines in repetitive tasks, but you still need to review its suggestions carefully.

Prerequisites for Getting Started

Before diving in, ensure you have the following:

1. An active GitHub account.
2. Visual Studio Code installed (or JetBrains IDEs with the Copilot plugin).
3. Basic familiarity with the programming language you intend to use (JavaScript, Python, etc.).

Week 1: Getting Acquainted with Copilot

Day 1-3: Install and Set Up

1. Install GitHub Copilot:

   • Open Visual Studio Code.
   • Go to Extensions and search for "GitHub Copilot".
   • Click "Install".

2. Sign In:

   • After installation, sign in with your GitHub account to activate the tool.

3. Familiarize Yourself:

   • Start a new project or open an existing one.
   • Write comments describing what you want to achieve. For instance, type // function to calculate the sum of two numbers.

Day 4-7: Experiment with Suggestions

• Practice Coding:
  • Write small functions and observe how Copilot suggests code completions.
  • Try different styles and see how it adapts.
  • Note down instances where Copilot saves you time versus where it falls short.

Week 2: Integrating Copilot into Your Workflow

Day 8-10: Optimize Your Coding Process

1. Use Copilot for Boilerplate Code:

   • Instead of writing out repetitive code structures, let Copilot generate them for you.
   • For example, when setting up a new API endpoint, write a comment, and let Copilot handle the rest.

2. Refine Your Usage:

   • If a suggestion isn’t quite right, tweak it and see how Copilot responds.
   • Use the feedback loop to teach it your coding style.

Day 11-14: Measure Your Speed and Efficiency

• Track Your Time:

  • Record how long it takes to complete tasks before and after using Copilot.
  • Set benchmarks for specific coding tasks (e.g., writing unit tests).

• Reflect on Your Experience:

  • What types of tasks did Copilot help with the most?
  • Were there areas where it slowed you down or introduced bugs?

Troubleshooting Common Issues

• Suggestion Quality:

  • If Copilot’s suggestions are not relevant, try rephrasing your comments or providing more context.

• Integration Issues:

  • If you encounter technical problems, ensure your IDE is up-to-date and check GitHub’s troubleshooting guide.

What’s Next?

Once you’ve improved your coding speed with GitHub Copilot, consider exploring additional AI tools that can enhance your workflow even further. Some tools to look into include:

| Tool | What It Does | Pricing | Best For | Limitations | Our Take | |--------------------|------------------------------------|----------------------------|--------------------------------|---------------------------------------|-----------------------------------| | Tabnine | AI code completion | Free tier + $12/mo pro | JavaScript, Python developers | Limited language support | We use this for JavaScript projects. | | Replit | Collaborative coding environment | Free, $7/mo pro | Team projects | Free tier has limited features | Skip if you need a standalone IDE. | | Codeium | Code completion and suggestions | Free | Various programming languages | Less mature than Copilot | We don’t use it because it lacks depth. | | Sourcery | Code review and refactoring | Free tier + $10/mo pro | Python developers | Limited to Python | We use this for Python code reviews. |

Conclusion

Getting up to speed with GitHub Copilot can genuinely transform how you code. By dedicating just two weeks to learning and integrating this tool into your workflow, you can save hours of development time and focus more on building your product.

Start here: Follow the steps outlined above, and don’t hesitate to iterate on your process. Keep experimenting with Copilot’s capabilities, and you’ll find it becomes an indispensable part of your coding toolkit.