Ai Coding Tools

How to Use GitHub Copilot to Boost Your Development Efficiency in 1 Hour

By BTW Team3 min read

How to Use GitHub Copilot to Boost Your Development Efficiency in 1 Hour

As a solo founder or indie hacker, your time is precious. You might think that coding is a long, tedious process, but what if I told you that you could significantly boost your development efficiency in just one hour? Enter GitHub Copilot, the AI-powered coding assistant that can help you write code faster and with fewer errors. But let's be clear: it's not magic. You still need to know what you're doing, but Copilot can act as a supportive partner in your coding journey.

What You Need to Get Started

Prerequisites

  1. GitHub Account: You'll need to sign up for a GitHub account if you don’t already have one.
  2. Visual Studio Code: Download and install Visual Studio Code, as Copilot integrates seamlessly with it.
  3. GitHub Copilot Subscription: Copilot costs $10/month or $100/year (as of June 2026), and there's a free trial available for new users.

Time Estimate

You can finish setting up and getting familiar with GitHub Copilot in about 1 hour.

Step-by-Step Guide to Using GitHub Copilot

Step 1: Install GitHub Copilot

  1. Open Visual Studio Code.
  2. Navigate to the Extensions view by clicking on the Extensions icon in the sidebar or pressing Ctrl+Shift+X.
  3. Search for "GitHub Copilot" and click "Install."
  4. Sign in with your GitHub account to activate your subscription.

Step 2: Start Coding

  1. Open a new file or an existing project.
  2. Begin typing a function or comment describing what you want to achieve. For example, type // Create a function to add two numbers.
  3. Watch as Copilot suggests code snippets. You can accept a suggestion by pressing Tab.

Step 3: Explore Suggestions

  1. If you don’t like the first suggestion, press Ctrl+Alt+\ to see alternative suggestions.
  2. Experiment with different prompts to see how Copilot responds. For instance, try asking for a function to "fetch data from an API."

Step 4: Refine Code with AI

  1. After accepting a suggestion, run your code to see if it works as expected.
  2. Make adjustments if needed. Copilot is great, but it's not perfect; you'll still need to review the code for logic errors.

Step 5: Use in Real Projects

  1. Start incorporating Copilot into your daily coding tasks. Use it for repetitive tasks like writing boilerplate code or generating documentation.
  2. Track your time spent on tasks before and after using Copilot to measure your efficiency.

What Could Go Wrong

  • Inaccurate Code: While Copilot can generate code quickly, it occasionally produces incorrect or suboptimal code. Always review and test suggestions.
  • Learning Dependency: Relying too much on Copilot may hinder your understanding of coding fundamentals. Use it as a tool, not a crutch.

What's Next?

Once you’re comfortable using GitHub Copilot, consider exploring its advanced features, such as:

  • Pairing with Other Tools: Integrate Copilot with tools like Postman for API testing or Figma for design handoffs.
  • Learning from the Community: Check out GitHub discussions and forums to learn how other developers are using Copilot effectively.

Conclusion: Start Here

If you're looking to enhance your coding efficiency, GitHub Copilot is a solid investment. With a subscription cost of $10/month, it can save you hours of development time, especially if you frequently tackle repetitive tasks. Just remember to use it wisely to complement your skills rather than replace them.

What We Actually Use

In our experience, we primarily use GitHub Copilot for small projects and prototyping. It helps us quickly iterate on ideas without getting bogged down in syntax. For larger applications, we still rely on our coding skills and knowledge.

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