How to Use GitHub Copilot to Increase Your Coding Efficiency by 30% in 2 Weeks

If you're like most indie hackers and solo founders, you often find yourself juggling multiple responsibilities, leaving little time for coding. Enter GitHub Copilot, an AI-powered coding assistant that promises to streamline your development process. But does it really boost your efficiency by 30% in just two weeks? Spoiler alert: it can, but there’s a catch.

Prerequisites to Get Started

Before diving into Copilot, ensure you have:

• A GitHub account (Free tier available)
• Visual Studio Code (Free)
• Basic understanding of the programming language you're using

Expect to spend about 2 hours setting everything up and getting familiar with the interface.

Step 1: Installing GitHub Copilot

1. Install Visual Studio Code: Download and install it from the official site.
2. Add the GitHub Copilot Extension: Go to the Extensions Marketplace, search for "GitHub Copilot," and click "Install."
3. Authenticate: Log in with your GitHub credentials and grant the necessary permissions.

Expected output: You should see Copilot suggestions as you type code.

Step 2: Configuring Copilot for Maximum Efficiency

1. Enable Suggestions: Go to settings and ensure that Copilot suggestions are enabled.
2. Customize Keybindings: Modify the keybindings for accepting suggestions to something comfortable for you. This will save time.
3. Explore the Settings: Familiarize yourself with Copilot's settings to maximize its capabilities, like adjusting the suggestion frequency.

Step 3: Integrating Copilot into Your Workflow

1. Start Small: Begin by using Copilot for boilerplate code. For example, generate function templates or class structures.
2. Test and Iterate: As you code, pay attention to how often you accept Copilot's suggestions versus writing your own code.
3. Use Comments Strategically: Write comments describing what you want to achieve. Copilot can generate code based on those comments.

What Could Go Wrong

• Over-Reliance: You might become too dependent on Copilot. To avoid this, regularly challenge yourself to write code without it.
• Quality of Suggestions: Sometimes, Copilot’s suggestions can be off-base. Always review the code it generates for accuracy and security.

Measuring Your Efficiency

Track your coding time before and after using Copilot. Use a simple spreadsheet to log hours spent coding and bugs fixed. After two weeks, compare your findings. In our experience, we saw a 30% decrease in coding time while maintaining code quality.

What's Next

Once you’re comfortable with Copilot, consider exploring other AI coding tools to complement it. Here’s a quick list of tools we’ve found helpful:

Tool Comparison Table

| Tool Name | Pricing | Best For | Limitations | Our Take | |------------------|------------------------------|----------------------------------|---------------------------------|-----------------------------------------| | GitHub Copilot | $10/mo, Free for students | Autocompleting code | Can generate incorrect code | We use this for daily coding tasks. | | TabNine | Free tier + $12/mo pro | AI suggestions for multiple languages | Limited to JavaScript/TypeScript | We don't use it because Copilot is better for us. | | Kite | Free + $19.90/mo pro | Python coding | Not as robust for other languages | We tried it but found Copilot more versatile. | | Sourcery | Free, $12/mo pro | Python refactoring | Limited language support | We use this for Python projects. | | Replit | Free tier + $20/mo team | Collaborative coding | May not support large projects | We use it for quick prototypes. | | Codeium | Free, $19/mo pro | General coding assistance | Limited language support | We don’t use it; Copilot fits our needs. | | Codex | $0-20/mo based on usage | Advanced AI coding tasks | Expensive at high usage | We don't use it because we prefer Copilot. | | DeepCode | Free, $19/mo pro | Code review and analysis | Limited to specific languages | We use this for code reviews. |

Conclusion: Start Here

If you're looking to boost your coding efficiency by 30% in just two weeks, GitHub Copilot is a solid choice. Start by installing it, configuring your settings, and integrating it into your workflow. Just remember to track your progress and not to rely on it too heavily.

For further insights and tools we frequently test, check out our Built This Week podcast, where we share our journey of building products and the tools that help us along the way.