How to Use GitHub Copilot to Accelerate Your Coding in 2 Hours

If you're a solo founder or indie hacker, you know that time is your most precious resource. Every minute spent coding is a minute you could be validating your idea, talking to customers, or shipping your product. Enter GitHub Copilot, an AI-powered coding assistant that can help you write code faster and more efficiently. But how do you actually harness this tool to supercharge your coding? I've put together a practical guide that you can complete in just 2 hours.

Prerequisites: What You Need to Get Started

Before jumping in, make sure you have the following:

• GitHub Account: You’ll need this to access Copilot.
• Code Editor: Visual Studio Code is the most compatible, but you can also use JetBrains IDEs.
• GitHub Copilot Subscription: Costs $10/month after a 14-day free trial.
• Basic Coding Knowledge: This isn’t for complete beginners; you should know your way around code.

Step 1: Install GitHub Copilot in Your Code Editor

1. Open Visual Studio Code.
2. Go to Extensions: Click on the Extensions sidebar (or press Ctrl+Shift+X).
3. Search for GitHub Copilot: Type in "GitHub Copilot" and click on the install button.
4. Authenticate: Sign in to your GitHub account when prompted.

Expected Output: You should see a Copilot icon in your status bar.

Step 2: Configure Copilot Settings

1. Open Settings: Go to File > Preferences > Settings.
2. Search for Copilot: Type "Copilot" in the search bar.
3. Adjust Settings: Enable options like “Enable GitHub Copilot” and choose your preferred completion style (Inline or Tab).

Expected Output: Copilot should now be ready to assist you with contextual suggestions.

Step 3: Start Coding with Copilot

1. Create a New File: Start with a new .js, .py, or any other language file.
2. Write a Comment: Describe the function you want to create. For example, // Function to calculate Fibonacci sequence.
3. Wait for Suggestions: Copilot will automatically suggest code based on your comment.

Expected Output: A relevant code snippet will appear, which you can accept by pressing Tab.

Step 4: Fine-tune Code Suggestions

1. Iterate on Suggestions: If the initial suggestion isn't perfect, you can modify the comment slightly and see how Copilot adapts.
2. Use the Up/Down Arrow Keys: Cycle through multiple suggestions if available.

Expected Output: You’ll find that Copilot can provide several variations of a solution.

Step 5: Debugging with Copilot

1. Introduce a Bug: Purposefully add a bug to your code.
2. Ask Copilot for Help: Write a comment like // Fix the bug in the Fibonacci function.
3. Review Suggestions: Copilot will suggest fixes based on the context.

Expected Output: You’ll receive suggestions to fix the bug, which can save you time in troubleshooting.

Troubleshooting: What Could Go Wrong

• No Suggestions: If Copilot doesn't provide any suggestions, ensure you're connected to the internet and properly authenticated.
• Irrelevant Suggestions: Sometimes, the context might not be clear enough. Make your comments more explicit.
• Subscription Issues: If you encounter issues with your subscription, check your GitHub billing settings.

What's Next: Building on Your Skills

After you've had a taste of using GitHub Copilot, consider exploring these additional tools to further enhance your coding workflow:

| Tool Name | What It Does | Pricing | Best For | Limitations | Our Take | |--------------------|------------------------------------------------|-----------------------|---------------------------|-----------------------------------------|----------------------------------| | Tabnine | AI code completion tool for various languages | Free + $12/mo Pro | JavaScript, Python | Limited free tier | We use this for additional context | | Replit | Online coding environment with collaborative features | Free + $20/mo Pro | Real-time collaboration | Performance issues with large projects | We don’t use it for serious projects | | Kite | Code completions using machine learning | Free + $19.90/mo Pro | Python, JavaScript | Limited language support | We tried it, but prefer Copilot | | Sourcegraph | Code search and navigation tool | Free + $50/user/mo | Large codebases | Can be complex to set up | We use it for codebase navigation | | Codex | OpenAI's code generation model | $0-20/mo (API usage) | Various programming tasks | Requires API integration | We don’t use it due to complexity |

What We Actually Use

For our team, GitHub Copilot is the go-to tool for speeding up coding tasks. However, we complement it with Tabnine for additional context and Sourcegraph for navigating larger codebases.

Conclusion: Start Here

If you’re looking to accelerate your coding, GitHub Copilot is a practical tool that can help you achieve more in less time. With just two hours to set up and start using it effectively, you can significantly enhance your productivity.

Go ahead and give it a try, and remember to keep iterating on your coding practices!