How to Use GitHub Copilot to Save 10 Hours a Week

If you're a solo founder or indie hacker, you're probably juggling a lot of tasks, and coding can quickly eat up your time. Enter GitHub Copilot, an AI-powered coding assistant that can help you write code faster and more efficiently. In 2026, it's more powerful than ever, but knowing how to leverage it effectively can be the difference between saving 10 hours a week or getting bogged down in tedious coding.

What is GitHub Copilot?

GitHub Copilot is an AI tool that suggests whole lines or blocks of code as you type, based on the context of what you're working on. It uses machine learning trained on a vast dataset of public code to generate suggestions that fit your coding style and project requirements.

• Pricing: $10/mo for individuals, $19/mo for teams
• Best for: Developers looking to speed up coding tasks and improve productivity
• Limitations: It may not always understand the project context perfectly, leading to irrelevant suggestions. It's not a substitute for understanding the code you're writing.

Prerequisites

Before diving into using GitHub Copilot, ensure you have:

• A GitHub account (free)
• Visual Studio Code installed (free)
• GitHub Copilot extension installed in Visual Studio Code

Step-by-Step: Setting Up and Using GitHub Copilot

1. Install GitHub Copilot

1. Open Visual Studio Code.
2. Go to the Extensions view by clicking on the Extensions icon in the Activity Bar.
3. Search for "GitHub Copilot" and click on the install button.
4. Sign in with your GitHub account and authorize the extension.

2. Configure Your Environment

To get the most out of Copilot, set up your environment:

• Choose a language you're comfortable with (Python, JavaScript, etc.).
• Create a new project or open an existing one.

3. Start Coding with Suggestions

As you type, GitHub Copilot will start suggesting code. Here’s how to interact with it effectively:

• Accept Suggestions: Hit Tab to accept a suggestion.
• Request More Suggestions: If the suggestion isn’t quite right, hit Ctrl + Enter to see more options.
• Comment Your Intent: Writing comments about what you want to achieve can help Copilot understand your context better.

4. Iterate and Refine

Use Copilot to generate boilerplate code or repetitive functions. For example, if you're building a REST API, you can type a comment like // Create a GET endpoint for users and see what Copilot suggests.

5. Troubleshooting Common Issues

• Irrelevant Suggestions: If Copilot suggests irrelevant code, try to be more specific in your comments or check your code context.
• Over-reliance: Don’t forget to review the generated code. Copilot is a helper, not a replacement for your coding skills.

6. Measuring Your Time Savings

To quantify your time savings, track how long tasks take before and after using Copilot. You might find that tasks that previously took 30 minutes can now be accomplished in 10-15 minutes, saving you hours each week.

Comparison Table of GitHub Copilot and Alternatives

| Tool | Pricing | Best for | Limitations | Our Verdict | |--------------------|----------------------|----------------------------------|-----------------------------------|------------------------------| | GitHub Copilot | $10/mo | General coding assistance | Contextual understanding issues | Great for quick suggestions | | TabNine | Free + $12/mo Pro | AI code completion | Limited language support | Good if you need more languages | | Kite | Free | Python developers | Limited to Python | We don't use this because it's too niche | | Codeium | Free | Multi-language support | Still in beta, less reliable | We use this for additional context | | Sourcery | Free + $12/mo Pro | Python code improvement | Python only | Best for Python code reviews | | Codex | $0-100/mo | AI-driven code generation | More complex to set up | Great for specialized tasks |

What We Actually Use

In our experience, we primarily use GitHub Copilot for most coding tasks due to its versatility and integration with VS Code. We also keep TabNine in our toolkit for when we need language support outside of what Copilot offers.

Conclusion: Start Here

If you're looking to save significant time on coding, GitHub Copilot is a solid investment. Set it up, start integrating it into your workflow, and measure the time you save. You'll likely find that it can easily save you 10 hours a week, allowing you to focus more on building and less on coding minutiae.