Ai Coding Tools

How to Use GitHub Copilot to Boost Your Productivity in 2 Hours

By BTW Team4 min read

How to Use GitHub Copilot to Boost Your Productivity in 2 Hours

If you're a solo founder or an indie hacker, you know the grind of coding can often feel like a never-ending battle against time. GitHub Copilot has emerged as a potential ally in this fight, promising to enhance your coding productivity significantly. But does it really deliver? In this guide, I'm breaking down how to effectively use GitHub Copilot to boost your productivity in just two hours.

Prerequisites: What You Need Before You Start

  1. GitHub Account: You'll need a GitHub account to use Copilot. Sign up at github.com.
  2. Visual Studio Code: Download and install Visual Studio Code (VS Code) if you haven't already. It's free and widely used.
  3. GitHub Copilot Subscription: As of 2026, GitHub Copilot costs $10/month after a 60-day free trial. Make sure to subscribe to unlock all features.
  4. Basic Coding Knowledge: Familiarity with at least one programming language (JavaScript, Python, etc.) is essential.

Step-by-Step Guide to Getting Started with GitHub Copilot

Step 1: Install GitHub Copilot in VS Code

  1. Open Visual Studio Code.
  2. Go to the Extensions view (Ctrl+Shift+X).
  3. Search for "GitHub Copilot" and click "Install."
  4. After installation, you'll need to sign in with your GitHub account.

Expected Output: You should see a Copilot icon in the sidebar, indicating it's ready to assist.

Step 2: Familiarize Yourself with Copilot's Features

Spend about 15-20 minutes exploring Copilot's capabilities. Here are the key features:

  • Code Suggestions: As you type, Copilot provides context-aware code completions.
  • Function Generation: Type a comment describing a function, and Copilot can generate the entire function for you.
  • Code Translation: Copilot can translate code from one language to another.

Step 3: Practice with Real Projects

Take the next hour to integrate Copilot into a small coding project. Here’s a suggested workflow:

  1. Start a New Project: Create a simple application (like a to-do list) using your preferred language.
  2. Utilize Comments: Write descriptive comments for the functions you need. For example, // Function to add a new task.
  3. Accept Suggestions: When Copilot suggests code, press Tab to accept it. Modify as needed.

Expected Output: By the end of this hour, you should have a functional piece of software with significantly less manual coding.

Step 4: Troubleshooting Common Issues

  1. Copilot Doesn't Suggest Anything: Ensure you're writing clear comments. If it still doesn't work, try restarting VS Code.
  2. Suggestions Are Off-Topic: Sometimes, Copilot misunderstands context. You might need to rephrase your comments or provide more context.

Step 5: Review and Optimize Your Workflow

In the final 30 minutes, review the code generated by Copilot. Here are some tips:

  • Refactor as Needed: Just because Copilot suggests something doesn’t mean it’s perfect. Make sure to review for efficiency and security.
  • Experiment with Different Comments: Try various ways to describe your functions to see how Copilot responds.

Expected Output: You should end up with a well-structured codebase that you had a hand in creating, but with Copilot doing a lot of the heavy lifting.

What We Actually Use: GitHub Copilot in Our Stack

In our experience at Ryz Labs, we use GitHub Copilot primarily for rapid prototyping and generating boilerplate code. While it’s not perfect, it saves us a ton of time, especially when iterating on features.

Here's a quick comparison of GitHub Copilot with other coding assistants we’ve tested:

| Tool | Pricing | Best For | Limitations | Our Verdict | |-------------------|-----------------------|----------------------|---------------------------------|------------------------------| | GitHub Copilot | $10/mo, free trial | Quick coding tasks | Sometimes generates irrelevant suggestions | Great for rapid prototyping | | Tabnine | $12/mo, free tier | AI code completions | Limited language support | Good, but we prefer Copilot | | Kite | Free, Pro at $19/mo | Python developers | Focused on Python | Useful, but niche | | Codeium | Free | General coding tasks | Less mature than Copilot | Worth trying |

Conclusion: Start Here to Boost Your Productivity

To wrap it up, GitHub Copilot can indeed boost your productivity if used correctly. By investing just two hours to set it up and practice, you can significantly cut down your coding time.

For solo founders and indie hackers, this is a game-changer. Start with the setup steps outlined above, and don't hesitate to experiment with your projects.

Ready to give it a shot?

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