Ai Coding Tools

How to Use GitHub Copilot for Rapid Prototyping in 60 Minutes

By BTW Team4 min read

How to Use GitHub Copilot for Rapid Prototyping in 60 Minutes

If you're building a side project or an MVP, you know that time is of the essence. You often find yourself stuck between wanting to write clean, efficient code and needing to prototype quickly. Enter GitHub Copilot—a tool that claims to help you code faster and with less friction. In this guide, I’ll walk you through how to leverage GitHub Copilot for rapid prototyping in just 60 minutes.

What is GitHub Copilot?

GitHub Copilot is an AI-powered code completion tool that suggests code snippets and entire functions as you type. It’s like having a pair of extra hands (or a supercharged assistant) that can help you churn out code faster.

  • Pricing: $10/month or $100/year
  • Best for: Developers who want to speed up coding tasks, especially when prototyping.
  • Limitations: It might produce incorrect or suboptimal code, and it requires a GitHub account.

In our experience, we've found that while it's not perfect, it saves us a lot of time, especially during the initial stages of development.

Prerequisites

Before diving in, make sure you have the following:

  1. GitHub Account: Sign up if you don't have one.
  2. Visual Studio Code (VS Code): Download and install VS Code, as Copilot integrates seamlessly with it.
  3. GitHub Copilot Extension: Install the GitHub Copilot extension from the VS Code Marketplace.

Step-by-Step Guide to Rapid Prototyping

Step 1: Set Up Your Environment (10 minutes)

  1. Open VS Code.
  2. Install the GitHub Copilot extension.
  3. Log in with your GitHub account.
  4. Create a new project folder for your prototype.

Step 2: Define Your Project Scope (10 minutes)

Decide what you want to prototype. For example, let’s say you want to create a simple To-Do List app. Write down the key features you need:

  • Add a task
  • Mark a task as complete
  • Delete a task

Step 3: Start Coding with Copilot (30 minutes)

  1. Create a New File: Start with an index.html file.
  2. HTML Structure: Type <!DOCTYPE html> and hit enter. Copilot will suggest the basic HTML structure.
  3. JavaScript Functionality: Create a new app.js file. Start by typing function addTask(task) { and see what Copilot suggests.

Here’s a simple example of what you might end up with:

function addTask(task) {
    const taskList = document.getElementById('task-list');
    const newTask = document.createElement('li');
    newTask.textContent = task;
    taskList.appendChild(newTask);
}
  1. Iterate: Continue defining functions like markComplete and deleteTask using Copilot’s suggestions.

Expected Outputs

By the end of this step, you should have a basic functional prototype with an HTML file and a JavaScript file containing the core functionalities of your To-Do List app.

Step 4: Test Your Prototype (5 minutes)

Open your index.html file in a web browser. Interact with your prototype to ensure everything works as expected. If something doesn’t work, use Copilot to troubleshoot by typing comments like // fix this and see what suggestions come up.

Troubleshooting

If Copilot suggests code that doesn’t work:

  • Check for syntax errors.
  • Ask for alternative suggestions by modifying your comments or code structure.
  • Remember that while Copilot is powerful, it may not always produce optimal solutions.

What’s Next?

Once your prototype is up and running, consider the following next steps:

  • Gather feedback from users.
  • Refine your code based on the feedback.
  • Start thinking about deployment options (e.g., using GitHub Pages or Vercel).

Conclusion

Using GitHub Copilot can significantly speed up your prototyping process, cutting down the time it takes to get your ideas off the ground. Start with a clear project scope, let Copilot assist you, and remember to test and iterate.

If you're looking to build a simple app or MVP quickly, GitHub Copilot is worth considering.

What We Actually Use

For rapid prototyping, we primarily use GitHub Copilot alongside VS Code. It’s become an essential part of our workflow, especially for quick iterations.

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