How to Use GitHub Copilot to Increase Your Coding Speed by 30% (2026)

As indie hackers and solo founders, we often find ourselves juggling multiple roles, and coding can consume a disproportionate amount of our time. Enter GitHub Copilot—an AI-powered coding assistant that promises to boost your coding speed. But does it really deliver? In my experience, it can indeed save you up to 30% in coding time if used effectively. Let's break down how to leverage GitHub Copilot to enhance your efficiency.

What is GitHub Copilot?

GitHub Copilot is an AI tool developed by GitHub and OpenAI that suggests code snippets and entire functions as you type. It’s like having a pair of extra hands that can write code alongside you. This can significantly speed up your development process, especially when you're tackling repetitive tasks or need quick solutions to coding problems.

Pricing Breakdown

• Free Tier: Limited access for individual users.
• Pro Plan: $10/month for enhanced capabilities and features.
• Enterprise Plan: Pricing varies based on team size and needs.

Best For

• Solo developers looking to save time on repetitive coding tasks.
• Startups that need to rapidly prototype features.
• Learning environments where developers can explore coding patterns.

Limitations

• Context Awareness: Copilot sometimes suggests code that doesn’t fit the specific context of your project.
• Language Support: Works best with popular languages like JavaScript, Python, and TypeScript, but may struggle with niche languages.
• Reliance on AI: You still need to review and understand the code it generates; it’s not a substitute for coding knowledge.

Getting Started with GitHub Copilot

Prerequisites

1. GitHub Account: Create a GitHub account if you don’t have one.
2. Visual Studio Code: Install VS Code, as Copilot integrates seamlessly with this IDE.
3. Copilot Extension: Install the GitHub Copilot extension from the VS Code marketplace.

Step-by-Step Guide to Use GitHub Copilot

1. Open a New Project in VS Code: Start a new project or open an existing one.
2. Activate Copilot: Ensure the GitHub Copilot extension is enabled.
3. Start Coding: As you type, observe the suggestions that appear. You can accept a suggestion by pressing Tab.
4. Refine Suggestions: If the suggestion doesn’t fit, you can tweak your prompt or type additional context.
5. Review Code: Always validate the generated code to ensure it meets your project’s requirements.

Expected Outputs

• Faster Function Creation: You can create functions in a fraction of the time.
• Code Snippets: Generate boilerplate code quickly, enabling you to focus on the unique parts of your application.

Troubleshooting Common Issues

• Irrelevant Suggestions: If Copilot suggests unrelated code, try providing more context in your comments.
• Syntax Errors: Always run tests after accepting suggestions to catch any potential errors.
• Limited Language Support: For less common languages, consider using Copilot as a supplementary tool rather than your main coding assistant.

What’s Next?

Once you’re comfortable with GitHub Copilot, consider exploring other tools that can complement its functionality. Here are a few recommendations:

Other AI Coding Tools to Consider

| Tool | Pricing | Best For | Limitations | Our Take | |--------------------|-------------------------------|----------------------------------|------------------------------------|------------------------------------| | TabNine | Free tier + $12/mo pro | Autocompletion | Limited to suggestions | We use it for quick snippets. | | Kite | Free | Python developers | Only supports Python | Skip if you don't code in Python. | | Codeium | Free | Collaborative coding | Still in beta, may have bugs | Good potential, but not stable yet. | | Sourcery | Free tier + $19/mo pro | Python code optimization | Limited language support | Useful for Python refactoring. | | Replit | Free + $10/mo pro | Online collaborative coding | Limited offline capabilities | Great for quick prototypes. | | DeepCode | Free | Code review | Limited to specific languages | Not our go-to, but useful for reviews. | | Codex by OpenAI | $0-20/mo depending on usage | Advanced AI coding tasks | Can be complex to integrate | Powerful, but overkill for simple tasks. | | IntelliCode | Free | C# and Java developers | Limited to Visual Studio | We don’t use it, but it's solid for .NET. | | Jupyter Notebook | Free | Data science and exploration | Not for production code | Great for prototyping. | | Ponic | $29/mo, no free tier | AI-powered IDE | Still in early development | Interesting features, but needs polish. |

What We Actually Use

For our projects, we primarily rely on GitHub Copilot for coding assistance, supplemented by TabNine for autocompletion and Kite for Python-specific tasks. This combination helps us maximize our coding efficiency without overwhelming ourselves with too many tools.

Conclusion

GitHub Copilot can indeed increase your coding speed by 30% if you use it strategically. Start by integrating it into your workflow, focusing on repetitive tasks, and always validate the code it generates. As you become more comfortable, don't hesitate to explore other tools that can enhance your coding experience further.

Ready to give it a shot? Dive into GitHub Copilot today and see how it can transform your coding workflow.