Ai Coding Tools

How to Use GitHub Copilot for Efficient Coding in Under 1 Hour

By BTW Team3 min read

How to Use GitHub Copilot for Efficient Coding in Under 1 Hour

As indie hackers and solo founders, we often juggle multiple roles, and that includes coding. GitHub Copilot has emerged as a powerful AI tool to help streamline our coding process, but many still wonder: is it really worth it for efficient coding? Spoiler alert: it can be a game changer, but there’s a learning curve. In this guide, I’ll show you how to set up and use GitHub Copilot effectively in under an hour.

Prerequisites: What You Need Before Getting Started

Before diving in, make sure you have the following:

  • GitHub Account: You’ll need this to access Copilot.
  • Visual Studio Code (VS Code): This is where Copilot integrates seamlessly. Download it here.
  • GitHub Copilot Subscription: Pricing is $10/month or $100/year. There’s a free trial for 30 days if you want to test it first.

Step 1: Install GitHub Copilot in VS Code (15 minutes)

  1. Open Visual Studio Code.
  2. Go to the Extensions view by clicking on the Extensions icon in the Activity Bar on the side.
  3. Search for "GitHub Copilot" and click "Install."
  4. After installation, you'll be prompted to sign in to your GitHub account. Follow the instructions to authorize.

Expected Output: Once authorized, you should see a "Copilot" icon in your status bar, indicating that it's active.

Step 2: Configuring GitHub Copilot (10 minutes)

  1. Go to the settings by clicking on the gear icon in the lower-left corner.
  2. Search for "Copilot" in the settings.
  3. Adjust settings like "Enable Suggestions" and "Inline Suggestions" based on your preference. I recommend keeping inline suggestions on for a more interactive experience.

Expected Output: You should see suggestions pop up as you type, making coding smoother.

Step 3: Using GitHub Copilot for Coding (20 minutes)

Now, let’s get into the meat of using Copilot effectively:

  1. Start Coding: Begin writing a function or comment. For example, type // Function to calculate the factorial of a number.
  2. Accept Suggestions: As you write, Copilot will suggest completions. Use the Tab key to accept a suggestion.
  3. Iterate: If a suggestion isn’t quite right, you can press Ctrl + Space to see alternative suggestions.

Expected Output: You should see Copilot generating code snippets based on your comments and existing code, significantly speeding up your coding process.

Troubleshooting: What Could Go Wrong

  • No Suggestions: If Copilot isn’t suggesting anything, check that you’re connected to the internet and properly signed in.
  • Inaccurate Suggestions: Sometimes, Copilot might produce incorrect code. Always review and test the generated code thoroughly.

What's Next: Level Up Your Use of GitHub Copilot

Once you’re comfortable using Copilot, consider these next steps:

  • Explore Advanced Features: Use Copilot with different programming languages and frameworks.
  • Integrate with GitHub Actions: Automate your workflows further by integrating Copilot with GitHub Actions for CI/CD.
  • Join Communities: Engage with other developers using Copilot to share tips and tricks.

Conclusion: Start Here to Boost Your Coding Efficiency

In just under an hour, you can set up and start using GitHub Copilot to streamline your coding process. Given its pricing of $10/month, it’s a valuable investment for indie hackers looking to save time and increase productivity. Just remember, while Copilot can generate impressive code, it’s not infallible—review every suggestion carefully.

What We Actually Use

We’re currently using GitHub Copilot alongside a few other tools like Figma for design and Notion for project management. Copilot has significantly reduced our coding time, especially for repetitive tasks.

Follow Our Building Journey

Weekly podcast episodes on tools we're testing, products we're shipping, and lessons from building in public.

Subscribe

Never miss an episode

Subscribe to Built This Week for weekly insights on AI tools, product building, and startup lessons from Ryz Labs.

Subscribe
Ai Coding Tools

GitHub Copilot vs. Codeium: Which AI Tool Wins for Advanced Developers in 2026?

GitHub Copilot vs. Codeium: Which AI Tool Wins for Advanced Developers in 2026? As an advanced developer, you’re likely familiar with the challenges of keeping up with the rapid pa

May 1, 20264 min read
Ai Coding Tools

How to Debug Like a Pro: Using AI Coding Tools to Fix Common Mistakes in 30 Minutes

How to Debug Like a Pro: Using AI Coding Tools to Fix Common Mistakes in 2026 Debugging can feel like a neverending cycle of frustration, especially when you're racing against a de

May 1, 20264 min read
Ai Coding Tools

Cursor vs GitHub Copilot: Which AI Tool is Best for You in 2026?

Cursor vs GitHub Copilot: Which AI Tool is Best for You in 2026? As a solo founder or indie hacker, you're always on the lookout for tools that can save you time and help you code

May 1, 20263 min read
Ai Coding Tools

How to Write a Simple App Using AI Tools in 2 Hours

How to Write a Simple App Using AI Tools in 2 Hours Building an app might feel like a daunting task, especially if you're not a seasoned developer. But what if I told you that with

May 1, 20265 min read
Ai Coding Tools

GitHub Copilot vs Codeium: Which AI Tool Suits Your Style?

GitHub Copilot vs Codeium: Which AI Tool Suits Your Style? As we dive deeper into 2026, the landscape of AI coding tools has evolved rapidly, with GitHub Copilot and Codeium standi

May 1, 20263 min read
Ai Coding Tools

Why Most AI Coding Tools Fail: 5 Common Pitfalls to Avoid

Why Most AI Coding Tools Fail: 5 Common Pitfalls to Avoid As a solo founder or indie hacker, diving into AI coding tools can feel like a gold rush. However, many projects stumble d

May 1, 20264 min read