Ai Coding Tools

How to Use GitHub Copilot to Optimize Your Coding Workflow in Under 1 Hour

By BTW Team4 min read

How to Use GitHub Copilot to Optimize Your Coding Workflow in Under 1 Hour

As a solo founder or indie hacker, your coding time is precious. You’re often juggling multiple responsibilities, and the last thing you need is to get bogged down by repetitive tasks or writer's block when coding. That’s where GitHub Copilot comes in. Launched in 2021 and continually updated, GitHub Copilot is an AI-powered coding assistant that can help you write code faster and more efficiently. In this guide, I'll show you how to optimize your coding workflow using GitHub Copilot, all within an hour.

Prerequisites: What You Need to Get Started

Before diving in, make sure you have the following:

  • A GitHub account (Free tier available)
  • Visual Studio Code installed (Free)
  • GitHub Copilot subscription ($10/month or $100/year as of May 2026)
  • Basic understanding of coding in JavaScript, Python, or TypeScript

Step 1: Install GitHub Copilot

Installation Steps

  1. Open Visual Studio Code.
  2. Navigate to Extensions (or press Ctrl+Shift+X).
  3. Search for "GitHub Copilot" and click "Install."
  4. Sign in to your GitHub account when prompted.
  5. Activate Copilot by clicking on the Copilot icon in the sidebar.

Expected Output

Once installed, you should see suggestions pop up as you type code. If not, ensure you’re logged in and the extension is enabled.

Step 2: Write Your First Function with Copilot

Coding with Copilot

  1. Start writing a function. For example, type function add(a, b) {.
  2. Wait a moment, and Copilot will suggest the completion. You can accept it by pressing Tab.
  3. Modify the function as needed.

Troubleshooting

  • No suggestions appearing? Make sure your internet connection is stable and that Copilot is enabled in settings.
  • Suggestions not relevant? You can cycle through different suggestions using Ctrl + ] or Ctrl + [.

Step 3: Use Copilot for Comments and Documentation

One of the most underrated features of Copilot is its ability to generate comments and documentation.

How to Use

  1. Write a comment describing what you want the function to do, for example, // This function adds two numbers.
  2. Copilot will often generate the function based on the comment.
  3. Accept the suggestion or refine it as necessary.

Limitations

While Copilot is great at generating code, it might not always understand complex business logic or specific edge cases. Always review the code it generates.

Step 4: Optimize Existing Code

You can also use Copilot to refactor or optimize existing code.

Steps to Optimize

  1. Select a block of code you want to improve.
  2. Type // Refactor this above it.
  3. Let Copilot suggest improvements.

Expected Output

You might see a more concise version of your code or alternative implementations.

Step 5: Test and Validate Code

Copilot can help you write test cases as well.

Writing Tests

  1. Write a comment like // Test for add function.
  2. Accept the test case suggestion from Copilot.

What Could Go Wrong

  • Copilot might not generate comprehensive test cases, so ensure you manually add edge cases.

Pricing Breakdown

| Feature | GitHub Copilot | Other AI Tools | |-----------------------------|----------------------------|---------------------------| | Pricing | $10/mo or $100/yr | Varies ($0-20/mo) | | Best For | Code suggestions, comments | General AI assistance | | Limitations | May miss complex logic | Less specialized for coding| | Our Take | Essential for speed | Good for general tasks |

What We Actually Use

In our experience, GitHub Copilot has transformed the way we code. We specifically use it for rapid prototyping and generating test cases. While we also dabble with tools like Tabnine ($12/mo) for additional coding support, nothing beats Copilot for its seamless integration with VS Code.

Conclusion: Start Here

To optimize your coding workflow with GitHub Copilot, follow these steps: install the extension, write functions, generate comments, optimize existing code, and validate your outputs. You can get this set up in under an hour, and the time saved will pay off quickly. If you’re looking for a way to boost your productivity and minimize coding friction, GitHub Copilot is a solid investment.

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