How to Use GitHub Copilot to Reduce Coding Time by 50% in 30 Days

Coding can feel like an endless cycle of debugging and writing repetitive code. If you’re an indie hacker or a solo founder, the last thing you want is to spend hours on tasks that can be automated. Enter GitHub Copilot. With its AI-powered suggestions, it promises to cut down your coding time significantly. But does it really deliver? In this guide, I’ll share how to effectively utilize GitHub Copilot to reduce your coding time by 50% in just 30 days.

What is GitHub Copilot?

GitHub Copilot is an AI-powered code completion tool that suggests code snippets based on the context of what you’re writing. It integrates seamlessly with popular code editors like Visual Studio Code, making it a handy companion for developers.

• Pricing: $10/month or $100/year
• Best for: Developers looking for code suggestions and improvements.
• Limitations: It may not always understand complex business logic and sometimes suggests outdated or insecure code.
• Our take: We've integrated Copilot into our workflow, and while it’s not perfect, it saves us time on boilerplate code.

Prerequisites to Get Started

Before diving into using GitHub Copilot, make sure you have:

1. A GitHub account (Free or Pro).
2. Visual Studio Code installed on your machine.
3. The GitHub Copilot extension installed in VS Code.
4. Basic familiarity with coding in your preferred programming language.

Step-by-Step Guide to Reduce Coding Time

Step 1: Set Up GitHub Copilot

1. Install the Extension: Open Visual Studio Code, go to the Extensions panel, and search for "GitHub Copilot." Click "Install."
2. Sign In: Authenticate with your GitHub account when prompted.
3. Toggle Copilot On: Ensure that Copilot is enabled in your settings.

Step 2: Use Copilot for Boilerplate Code

• Action: Start typing a function or class, and let Copilot suggest the structure.
• Expected Output: Copilot will provide a complete function signature and body. For instance, if you type function fetchData, it might suggest a full asynchronous function with error handling.

Step 3: Optimize Your Workflow

• Action: Use Copilot to generate tests and documentation. For example, type // test above a function, and Copilot will suggest a test case.
• Expected Output: You’ll save time writing repetitive tests and documentation, allowing you to focus on more complex logic.

Step 4: Embrace Pair Programming with AI

• Action: Treat Copilot as a coding partner. Ask it to refactor code or suggest improvements by typing comments like // refactor this.
• Expected Output: You’ll receive suggestions that can enhance code quality, which you can refine further.

Step 5: Evaluate and Iterate

• Action: After a week, review your codebase to see how much time you’ve saved by using Copilot. Track metrics like lines of code written or bugs fixed.
• Expected Output: By the end of 30 days, you should notice a significant reduction in the time spent on repetitive coding tasks.

Troubleshooting Common Issues

• What Could Go Wrong: Sometimes, Copilot may suggest code that doesn't fit your specific use case, or it may be outdated.
• Solution: Always review suggestions critically and modify them as needed. Don’t rely solely on Copilot for critical security or business logic.

What’s Next?

Once you’ve integrated GitHub Copilot into your workflow, consider exploring other AI coding tools that can complement its functionality. Here’s a short list of tools to check out:

Tool Recommendations

| Tool | Pricing | Best For | Limitations | Our Take | |----------------------|-----------------------|--------------------------------|-------------------------------------|-------------------------------------| | GitHub Copilot | $10/mo | Code suggestions | May suggest insecure code | Essential for boilerplate tasks | | TabNine | Free tier + $12/mo pro| AI code completion | Limited context understanding | Great for multi-language support | | Kite | Free + $19.90/mo | Python development | Limited to Python and JavaScript | Good for Python-focused projects | | Codeium | Free | Team collaboration | Less mature than competitors | Useful for brainstorming | | Sourcery | Free + $12/mo pro | Python code refactoring | Only for Python | Helps improve code quality |

What We Actually Use

In our experience, GitHub Copilot is our go-to tool for reducing coding time. We also use TabNine for its multi-language capabilities and Kite for Python-specific projects.

Conclusion

If you’re looking to streamline your coding process and save valuable time, GitHub Copilot is a solid choice. Follow the steps outlined above, and you could realistically reduce your coding time by 50% in just 30 days. Start by integrating Copilot into your workflow today, and keep iterating based on your needs.