How to Use GitHub Copilot to Save 5 Hours a Week in Coding

If you're like many indie hackers and solo founders, you probably feel like there's never enough time in the week to get everything done. Between developing your product, handling customer support, and managing marketing, coding often takes a backseat. In 2026, GitHub Copilot has emerged as a powerful AI tool that can help you reclaim up to 5 hours a week by streamlining your coding process. Let’s dive into how you can make the most of Copilot and get back to building.

What is GitHub Copilot?

GitHub Copilot is an AI-powered code completion tool that suggests entire lines or blocks of code as you type. It leverages the power of OpenAI’s Codex to understand your coding context and provide relevant suggestions.

Pricing Breakdown

• Free Tier: Limited features suitable for small projects.
• Pro Plan: $10/month, full access to all features.
• Team Plan: $19/month per user, includes advanced collaboration tools.

Best for: Individual developers and small teams looking to increase coding efficiency.

Limitations: It may not always provide the most optimal or secure code, so you should review suggestions carefully.

Our take: We use Copilot for boilerplate code and repetitive tasks, which saves us significant time. However, we double-check the code it suggests to ensure it meets our standards.

Setting Up GitHub Copilot

Prerequisites

1. GitHub Account: You need an active GitHub account.
2. Visual Studio Code: Install Visual Studio Code (VS Code) as Copilot integrates seamlessly with this IDE.
3. GitHub Copilot Extension: Install the GitHub Copilot extension from the VS Code marketplace.

Setup Time Estimate

You can finish this setup in about 30 minutes.

Step-by-Step Setup

1. Create or Open a Project: Start a new or existing project in VS Code.
2. Install the Extension: Go to the Extensions view in VS Code, search for "GitHub Copilot," and click "Install."
3. Sign In: Once installed, click the Copilot icon and sign in with your GitHub account.
4. Start Coding: Begin typing in your code editor, and Copilot will automatically suggest code completions.

Expected Output: You should see code suggestions pop up as you type, helping you write code faster.

How to Maximize Your Time Savings with Copilot

Use Copilot for Repetitive Tasks

Copilot excels at generating repetitive code, such as:

• CRUD Operations: Quickly scaffold models, controllers, and routes.
• Unit Tests: Generate boilerplate for testing functions.
• Data Validation: Create validations for your data models.

Optimize Your Workflow with Snippets

You can create snippets that Copilot can help expand. For example, if you frequently write a specific function, start typing its name, and Copilot will suggest the rest.

Collaborate with Copilot

Use Copilot to pair program with yourself. Write a comment describing the function you need, and let Copilot generate the code. This is particularly useful when you’re stuck or exploring new libraries or frameworks.

What Could Go Wrong?

While Copilot is powerful, it’s not infallible. Here are some potential pitfalls:

• Security Flaws: Copilot may suggest insecure code. Always review suggestions critically.
• Code Quality: The generated code might not adhere to your coding standards or best practices.

Troubleshooting: If you find Copilot isn't suggesting relevant code, try providing clearer comments or context about what you're trying to achieve.

What’s Next?

Once you’re comfortable with Copilot, consider integrating it with other tools to further enhance your workflow. For instance, using it alongside code review tools or CI/CD pipelines can help maintain code quality while speeding up development.

Conclusion: Start Here

If you're looking to save time in your coding process, GitHub Copilot is a solid investment, especially with the Pro Plan at $10/month. Start by setting it up in VS Code, and begin utilizing its suggestions for repetitive tasks. In our experience, you can realistically save up to 5 hours a week by adopting Copilot into your workflow.

What We Actually Use: We rely on GitHub Copilot for generating boilerplate code and unit tests, but we always review the output to ensure quality.