Ai Coding Tools

How to Use GitHub Copilot for Faster Coding in 2 Hours

By BTW Team4 min read

How to Use GitHub Copilot for Faster Coding in 2026

If you’re a solo founder or indie hacker, you know the grind of coding can be a real time sink. Between debugging and figuring out syntax, it often feels like there's barely enough time to actually build your product. Enter GitHub Copilot: a tool that promises to help you code faster by suggesting whole lines or blocks of code based on context. But does it really deliver? I spent a couple of weeks testing it out, and here's how you can set it up and get started in just 2 hours.

Prerequisites

Before diving in, make sure you have:

  • A GitHub account (Free or Pro)
  • Visual Studio Code installed (Free)
  • Basic understanding of JavaScript, Python, or another supported language

GitHub Copilot Overview

  • What it does: GitHub Copilot uses AI to suggest code snippets based on the context of what you're writing.
  • Pricing: $10/month for individuals, $19/month for teams.
  • Best for: Developers looking to speed up their coding process and reduce boilerplate.
  • Limitations: It can't understand your entire project context and sometimes suggests outdated or incorrect code.
  • Our take: We use Copilot for quick prototyping but always double-check its suggestions.

Step-by-Step Setup in 2 Hours

Step 1: Install GitHub Copilot

  1. Open Visual Studio Code.
  2. Go to the Extensions panel (Ctrl + Shift + X).
  3. Search for “GitHub Copilot” and click “Install.”
  4. Sign in with your GitHub account to activate your subscription.

Expected output: You should see a Copilot icon in the bottom right corner of your editor.

Step 2: Enable Copilot Suggestions

  1. Open a new file and start typing a function or comment describing what you want to do.
  2. Copilot will show suggestions in a greyed-out text format.
  3. Use Tab to accept the suggestion or Esc to dismiss it.

Expected output: You should see relevant code suggestions auto-completing your input.

Step 3: Fine-Tune Your Experience

  1. Adjust settings in VS Code for Copilot under Preferences > Settings > Extensions > GitHub Copilot.
  2. Enable or disable inline suggestions based on your preference.

Expected output: Customization will help you get suggestions that fit your coding style better.

Troubleshooting Common Issues

  • Issue: Copilot isn’t suggesting anything.

    • Solution: Make sure you’re connected to the internet and signed into GitHub.
  • Issue: Suggestions are irrelevant.

    • Solution: Try writing more descriptive comments or function names to give it better context.

What’s Next?

Once you’re comfortable using Copilot, consider exploring these additional tools to enhance your coding workflow:

Tool Comparison Table

| Tool | Pricing | Best for | Limitations | Our Verdict | |---------------------|----------------------|-----------------------------------|---------------------------------|----------------------------------| | GitHub Copilot | $10/mo | Speeding up coding | Can suggest incorrect code | We use it for quick prototypes | | Tabnine | Free + $12/mo pro | AI code completion | Limited language support | Great for JavaScript developers | | Replit | Free + $20/mo pro | Collaborative coding | Performance drops with heavy use| We don’t use it for larger projects| | Kite | Free + $19.90/mo pro | Python-focused suggestions | Limited to Python | We use it for Python scripts | | Codex | $0.006/1k tokens | Complex code generation | Expensive for heavy usage | Not our go-to for daily coding | | Codeium | Free | Community-driven suggestions | Less mature than others | We’re exploring it |

Conclusion: Start Here with GitHub Copilot

If you're looking to speed up your coding process, GitHub Copilot is worth a shot. It can dramatically reduce the time spent on boilerplate code, but always remember to validate what it suggests. Start by installing Copilot, follow the setup steps, and see what works best for you. With a bit of practice, you'll find yourself coding faster and more efficiently.

For a deeper dive into tools like GitHub Copilot, check out our podcast, Built This Week, where we share real experiences and tool recommendations from our journey.

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