How to Use GitHub Copilot to Write 10x Faster in 2026

In the fast-paced world of coding, time is money. As indie hackers and solo founders, we often juggle multiple projects, and the last thing we need is to get bogged down in writing code. Enter GitHub Copilot, an AI-powered coding assistant that claims to help you write code up to 10 times faster. But does it live up to the hype in 2026? Let's break down how to effectively use GitHub Copilot to supercharge your coding workflow.

What is GitHub Copilot?

GitHub Copilot is an AI-powered code completion tool that suggests entire lines of code or functions based on the context of what you're working on. It integrates seamlessly with popular code editors like Visual Studio Code, making it easy to adopt.

Pricing:

• $10/month for individuals
• $19/month for businesses

Best for: Developers looking to speed up their coding process, especially those who frequently write boilerplate code or work with repetitive tasks.

Limitations: It doesn’t always produce optimal code and can suggest outdated practices. You still need to review and test the output thoroughly.

Our take: We use GitHub Copilot for quickly generating boilerplate code and for prototyping ideas, but we always verify the output before deploying.

Setting Up GitHub Copilot

Prerequisites

1. A GitHub account (free or paid)
2. Visual Studio Code installed (latest version)
3. GitHub Copilot extension added to your VS Code

Time Estimate

You can finish the setup in about 30 minutes.

Step-by-Step Setup

1. Install Visual Studio Code: If you haven’t already, download and install Visual Studio Code.
2. Sign in to GitHub: Open Visual Studio Code and sign in to your GitHub account.
3. Install GitHub Copilot: Go to the Extensions view (Ctrl+Shift+X), search for "GitHub Copilot," and click "Install."
4. Enable Copilot: Once installed, you’ll see a prompt to enable Copilot. Follow the instructions to activate it.
5. Start Coding: Open a new file and start typing. Copilot will automatically suggest code as you type.

Expected Outputs

When you start coding, you'll see suggestions pop up. For example, if you start typing a function, Copilot might suggest the entire function body based on the context.

Troubleshooting Common Issues

• Suggestions not appearing: Make sure you're signed in to GitHub and that the Copilot extension is enabled.
• Suggestions are irrelevant: Copilot learns from your coding style over time. The more you use it, the better it gets at suggesting relevant code.
• Performance issues: If VS Code is lagging, try disabling other extensions to see if that resolves the issue.

Real-World Use Cases

Here are some ways we’ve found GitHub Copilot to be particularly helpful:

1. Boilerplate Code: Generating repetitive code structures like RESTful API endpoints.
2. Unit Tests: Quickly generating unit tests for existing functions, saving time in test-driven development.
3. Documentation: Auto-generating comments and documentation for your code.

Comparison of AI Coding Tools

| Tool | Pricing | Best For | Limitations | Our Verdict | |---------------------|--------------------------|-----------------------------------|----------------------------------|----------------------------------| | GitHub Copilot | $10/mo (individual) | Speeding up coding tasks | Can suggest outdated practices | Great for boilerplate code | | TabNine | $12/mo (pro) | Autocompletion for multiple languages | Less context-aware than Copilot | Good for multi-language support | | Codeium | Free, paid plans from $10/mo | Free alternative to Copilot | Limited features on free tier | Use if budget is tight | | Sourcery | Free, $12/mo for pro | Improving code quality | Basic suggestions | Good for refactoring | | Replit | Free, $20/mo for pro | Collaborative coding | Less powerful than Copilot | Great for teams | | Kite | Free, Pro at $19.90/mo | Python coding | Limited to Python | Best for Python developers |

What We Actually Use

In our experience, we primarily rely on GitHub Copilot for writing boilerplate code and generating unit tests. For more complex code, we still prefer manual coding to ensure quality and performance.

Conclusion: Start Here

If you want to write code faster in 2026, start by setting up GitHub Copilot. It can significantly reduce the time spent on repetitive tasks and help you focus on the creative aspects of coding. Just remember to review the code it suggests to ensure it meets your standards.

Ready to give it a shot? Dive into your coding projects with GitHub Copilot and see how much time you can save!