Ai Coding Tools

How to Use GitHub Copilot to Write Complete Apps in Under 2 Hours

By BTW Team4 min read

How to Use GitHub Copilot to Write Complete Apps in Under 2 Hours

If you're a solo founder or indie hacker, you know the struggle of building apps quickly while juggling multiple responsibilities. Enter GitHub Copilot, an AI-powered coding assistant that promises to speed up your development process. But can it really help you create complete applications in under two hours? Spoiler alert: yes, it can—but there are caveats. In this guide, I'll share how to leverage GitHub Copilot effectively, what tools complement it, and how to navigate its limitations so you can actually ship your project on time.

Prerequisites: What You Need Before You Start

  1. GitHub Account: You'll need a GitHub account to access Copilot.
  2. Visual Studio Code: Copilot is an extension for VS Code, so make sure you have it installed.
  3. Basic Programming Knowledge: Familiarity with JavaScript or Python will help you get the best out of Copilot.
  4. Time: Set aside about 2 hours to get your app up and running.

Step-by-Step: Building an App with GitHub Copilot

Step 1: Install GitHub Copilot

First, you need to install the GitHub Copilot extension in Visual Studio Code. Go to the Extensions Marketplace, search for "GitHub Copilot," and click "Install." This step takes about 5 minutes.

Step 2: Set Up Your Project

Create a new project folder and initialize it. If you’re building a simple web app, you might want to set up a basic HTML, CSS, and JavaScript structure. Copilot can help generate boilerplate code, so you won’t need to write everything from scratch.

Step 3: Start Coding with Copilot

Begin writing your code. As you type, Copilot will suggest completions. For instance, if you type function fetchData(), Copilot might suggest the entire function to fetch data from an API. In our experience, this can save you a significant amount of time.

Expected Output: Your app should start taking shape quickly. Aim for a simple app like a to-do list or a weather app.

Step 4: Refine and Test

As you build, you’ll need to refine the code. Copilot doesn’t always get it right, and you may need to adjust the suggestions. Make sure to test your app as you go—this will help you catch issues early.

Troubleshooting: What Could Go Wrong

  • Incorrect Suggestions: Copilot may suggest code that doesn’t fit your needs. Be ready to tweak.
  • Syntax Errors: Always run your code to check for errors. Copilot can miss edge cases.
  • Limited Context: If you switch between files, Copilot may lose context. Make sure to provide comments to guide it.

What's Next?

Once your app is functional, consider deploying it on platforms like Vercel or Netlify. You can also gather user feedback and iterate on your app.

Tool Comparison: GitHub Copilot vs. Other AI Coding Tools

Here’s a quick comparison of GitHub Copilot and other popular AI coding tools.

| Tool | Pricing | Best For | Limitations | Our Verdict | |---------------------|---------------------------|---------------------------|----------------------------------|-----------------------------------| | GitHub Copilot | $10/mo per user | Quick app prototyping | Limited context in complex apps | Great for rapid prototyping | | Tabnine | Free tier + $12/mo pro | Code completion | Less context-aware than Copilot | Good for individual functions | | Codeium | Free | Full-stack development | Lacks advanced features | Not as polished as Copilot | | Replit | Free tier + $20/mo pro | Collaborative coding | Not focused on AI suggestions | Great for team projects | | Amazon CodeWhisper | $19/mo | AWS integrations | AWS-centric, not general-purpose | Good for AWS-heavy projects | | Sourcery | Free tier + $19/mo pro | Refactoring code | Limited to Python | Best for Python developers |

Our Take on GitHub Copilot

In our experience, we use GitHub Copilot for quick prototypes and MVPs. It’s not perfect but significantly cuts down the time spent on boilerplate code. If you're comfortable with basic programming concepts, you can leverage Copilot’s suggestions to speed up your workflow. However, be prepared to refine and debug the code it generates.

Conclusion: Start Here

To get started with GitHub Copilot, set up your development environment as outlined, and choose a simple app idea to build. Remember, while Copilot can save you time, it’s crucial to review its suggestions critically. By following this guide, you can efficiently build an app in under 2 hours, leaving you more time to focus on growing your project.

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