How to Use GitHub Copilot to Write Code 50% Faster in 2026

As a solo founder or indie hacker, time is your most valuable resource. I remember the days when writing code felt like an uphill battle, especially when deadlines were looming. Enter GitHub Copilot, which has become a game-changer in our coding workflow. It promises to help you write code up to 50% faster, but how do you actually harness its power effectively? Let’s break it down.

Prerequisites: What You Need to Get Started

Before diving into GitHub Copilot, ensure you have the following:

• GitHub Account: You need an account to access Copilot.
• Visual Studio Code (VS Code): Copilot integrates seamlessly with VS Code, which is free.
• GitHub Copilot Subscription: As of August 2026, Copilot costs $10/month for individuals.
• Basic Coding Knowledge: Familiarity with the programming language you plan to use (e.g., Python, JavaScript).

Step 1: Setting Up GitHub Copilot

1. Install VS Code: If you haven't already, download and install Visual Studio Code from here.
2. Install GitHub Copilot Extension:
   • Open VS Code.
   • Go to Extensions (Ctrl+Shift+X).
   • Search for “GitHub Copilot” and click “Install.”
3. Sign In to GitHub: After installation, sign in using your GitHub account.

Step 2: Using Copilot Effectively

2.1 Autocompletion and Suggestions

Once you start typing code, Copilot will automatically suggest completions based on the context. For instance, if you’re defining a function, Copilot can provide the entire function body.

• Example: Type def calculate_sum( in Python, and Copilot will suggest the complete function signature and body.

2.2 Contextual Awareness

Copilot uses natural language prompts to understand what you want. You can write comments in plain English, and it will translate them into code.

• Example: Type // function to fetch user data and watch Copilot generate a function that fetches user data from an API.

2.3 Testing and Debugging

Use Copilot to write tests. This can save you significant time in setting up test cases.

• Example: For a function add(a, b), type a comment like // test add function and let Copilot generate the test cases.

Step 3: Troubleshooting Common Issues

While using Copilot, you might encounter some hiccups:

• Incorrect Suggestions: Sometimes, Copilot may suggest code that is syntactically correct but logically flawed. Always review the code it generates.
• Limited Language Support: Copilot excels with popular languages like Python and JavaScript but may struggle with niche languages.

Step 4: Measuring Your Efficiency

To determine if you’re actually coding faster, track how long it takes to complete a project with and without Copilot. We found that our coding speed improved by about 40-50% on average after a few weeks of consistent use.

What’s Next?

After getting comfortable with Copilot, consider exploring its advanced features, such as:

• Customizing Suggestions: You can tweak settings to get more relevant suggestions.
• Using in Pair Programming: Copilot can be a great assistant when working with others, providing suggestions in real-time.

Conclusion: Start Here

If you're looking to code faster, GitHub Copilot is worth the investment. Set it up today, practice with it, and track your progress. You’ll likely find that your coding speed improves significantly, making those daunting deadlines feel much more manageable.

What We Actually Use

We’ve integrated GitHub Copilot into our daily workflow at Ryz Labs, and it has consistently helped us ship features faster. While it’s not perfect, the time savings make it a staple in our stack.