How to Use GitHub Copilot to Complete Your Code in Under 1 Hour

As a solo founder or indie hacker, time is your most precious asset. You want to ship products quickly, but coding can feel like a never-ending battle with syntax and logic errors. Enter GitHub Copilot, an AI-powered coding assistant that promises to make coding faster and easier. But does it deliver? In this article, I'll walk you through how to use GitHub Copilot effectively, share my experiences, and help you decide if it's right for your workflow.

Time Estimate: 1 Hour

You can set up GitHub Copilot and start using it within an hour. This includes installation, configuration, and running your first code completion tasks.

Prerequisites

Before diving in, you’ll need:

• A GitHub account (Free).
• Visual Studio Code installed on your machine.
• GitHub Copilot subscription ($10/month after a free trial).

Step-by-Step Guide to Using GitHub Copilot

Step 1: Install GitHub Copilot

1. Open Visual Studio Code.
2. Go to Extensions (Ctrl+Shift+X).
3. Search for "GitHub Copilot". Click Install.
4. Sign in to your GitHub account when prompted.

Step 2: Configure Copilot

1. Open your project in VS Code.
2. Start typing your code. For example, if you're building a simple API, type function createUser( and watch as Copilot suggests completions.
3. Press Tab to accept a suggestion or continue typing to refine it.

Step 3: Testing and Debugging Code

1. Use the suggestions to complete your functions. Copilot can help with everything from simple functions to complex algorithms.
2. Run your code to test its functionality. If Copilot suggests something that doesn’t work, don’t hesitate to modify it.
3. Refine your prompts. If the initial suggestion isn't what you want, add comments or modify the code to guide Copilot better.

Expected Outputs

By the end of this hour, you should have:

• A functional code snippet or module.
• A better understanding of how Copilot suggests code based on your input.

Troubleshooting Common Issues

• Suggestion Quality: Sometimes, Copilot's suggestions can be off. If you're not getting useful suggestions, try rephrasing your comments or typing more context.
• Performance Lag: If you notice slow performance, check your internet connection or consider disabling other resource-heavy extensions temporarily.

What's Next?

Once you’re comfortable with Copilot, explore more advanced features like:

• Using it for documentation: Type comments in natural language and see how it generates documentation for your code.
• Pair programming: Use Copilot to suggest alternative solutions to complex problems.

Tool Comparison: GitHub Copilot vs. Other Coding Assistants

| Tool | Pricing | Best For | Limitations | Our Verdict | |-------------------|-----------------------------|------------------------------|----------------------------------------|---------------------------| | GitHub Copilot | $10/mo (after free trial) | General coding assistance | May suggest incorrect code | Great for quick tasks | | Tabnine | Free + $12/mo Pro | Autocompletion for multiple languages | Limited context awareness | Good for specific languages | | Codeium | Free | Open-source projects | Less robust than Copilot | Good for budget options | | Replit AI | Free tier + $20/mo Pro | Collaborative coding | Limited to Replit environment | Best for real-time collaboration | | Sourcery | Free + $12/mo Pro | Python code improvement | Focused on Python only | Great for Python developers |

What We Actually Use

In our experience, we've found GitHub Copilot to be invaluable for speeding up the coding process. We primarily use it for generating boilerplate code and simple functions, but we often double-check its suggestions, especially for complex logic.

Conclusion: Start Here

If you're looking to enhance your coding productivity, start by trying out GitHub Copilot. It’s not perfect, but it can significantly reduce the time it takes to write code when used correctly. Just remember to stay engaged with your code and not rely solely on the AI.