Ai Coding Tools

How to Build Your First Project with GitHub Copilot in Under 2 Hours

By BTW Team3 min read

How to Build Your First Project with GitHub Copilot in Under 2 Hours

If you're a solo founder or indie hacker, you've probably felt the frustration of getting stuck on coding tasks that seem to take forever. Learning to code can feel like an uphill battle, especially if you're trying to juggle it with other responsibilities. Enter GitHub Copilot—a tool that promises to make coding faster and easier by suggesting code snippets as you type. But can it really help you build your first project in under two hours? Spoiler alert: Yes, it can, but there are some caveats.

Prerequisites: What You'll Need

Before diving in, make sure you have the following:

  • Basic understanding of programming: Familiarity with JavaScript or Python will help.
  • GitHub account: Sign up for free if you don't have one.
  • Visual Studio Code (VS Code): Download and install it if you haven't already.
  • GitHub Copilot subscription: Costs $10/month after a free trial.
  • A clear project idea: Something simple like a to-do list app or a weather app.

Step 1: Set Up Your Environment (15 minutes)

  1. Install VS Code: Head to VS Code's website and download the latest version.
  2. Install GitHub Copilot: Open VS Code, go to the Extensions view, search for "GitHub Copilot," and install it.
  3. Authenticate Copilot: Follow the prompts to log in with your GitHub account and authorize Copilot.

Expected Output: You should see a "Copilot" icon in the sidebar once it's successfully installed.

Step 2: Start Coding Your Project (1 hour)

Create a New Project

  1. Open a new folder in VS Code: This will be your project directory.
  2. Create a new file: For example, app.js for a JavaScript project.

Use GitHub Copilot to Generate Code

  • Start typing a function: For instance, function getWeather(city) {. Copilot will suggest code based on your input.
  • Accept suggestions: Use the Tab key to accept suggestions. If it's not quite right, you can modify it or ask for a different suggestion by typing more context.

Expected Output: You should have a functional piece of code generated by Copilot that you can further customize.

Step 3: Test Your Project (30 minutes)

  1. Run your code: Use the built-in terminal in VS Code to execute your project and check for any errors.
  2. Debug as needed: If something doesn’t work, Copilot can also help you troubleshoot. Just type a comment like // fix this and see what suggestions come up.

Expected Output: A working project that you can show off or iterate on.

Common Issues and Troubleshooting

  • Code doesn't compile: Ensure that your project setup is correct and all necessary dependencies are installed.
  • Copilot doesn't suggest anything: Make sure you're typing enough context. Sometimes, Copilot needs a clear prompt to understand what you're asking for.

What's Next?

After you've built your first project, consider these next steps:

  • Iterate and improve: Add more features based on user feedback.
  • Deploy your project: Use platforms like Heroku or Vercel for deployment.
  • Learn more: Check out resources like the Built This Week podcast for deeper dives into tools and strategies for indie hackers.

Conclusion: Start Here

If you're looking to build something quickly and efficiently, GitHub Copilot is a powerful ally. While it won't write your entire project for you, it significantly speeds up the coding process, especially for beginners. Just be prepared for some trial and error, and don’t hesitate to customize the suggestions it provides.

To get started, follow the steps above and remember that the key is to keep your project simple. Happy coding!

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

10 AI Coding Tools That Will Drastically Reduce Your Debugging Time

10 AI Coding Tools That Will Drastically Reduce Your Debugging Time As a developer, whether you're just starting out or have years of experience, debugging can feel like a neverend

Oct 16, 20265 min read
Ai Coding Tools

10 Common Mistakes When Integrating AI Coding Tools into Your Workflow

10 Common Mistakes When Integrating AI Coding Tools into Your Workflow As developers, we’re always on the lookout for ways to streamline our workflow and boost productivity. Enter

Oct 14, 20264 min read
Ai Coding Tools

5 Myths About AI Coding Tools That Could Hurt Your Development Process

5 Myths About AI Coding Tools That Could Hurt Your Development Process As a solo founder or indie hacker, you might be lured by the promises of AI coding tools that claim to simpli

Oct 13, 20264 min read
Ai Coding Tools

5 Common Mistakes Developers Make When Using AI Coding Tools in 2026

5 Common Mistakes Developers Make When Using AI Coding Tools in 2026 As AI coding tools have become an integral part of a developer's toolkit in 2026, many are still stumbling over

Oct 12, 20264 min read
Ai Coding Tools

5 Myths About AI Coding Tools: What Every Developer Should Know in 2026

5 Myths About AI Coding Tools: What Every Developer Should Know in 2026 As we dive into 2026, the landscape of AI coding tools has evolved significantly, yet many developers still

Oct 11, 20263 min read
Ai Coding Tools

Why AI Coding Assistants Are Overrated for Beginners in 2026

Why AI Coding Assistants Are Overrated for Beginners in 2026 As a solo founder or indie hacker, it’s tempting to think that AI coding assistants are the silver bullet to jumpstart

Oct 10, 20263 min read