Ai Coding Tools

Why Most Developers Overlook GitHub Copilot: The Hidden Benefits

By BTW Team4 min read

Why Most Developers Overlook GitHub Copilot: The Hidden Benefits

As a developer, you might have heard the buzz around GitHub Copilot, but maybe you’ve dismissed it as just another AI tool that’s not worth your time. It’s easy to overlook it, especially if you’re comfortable with your current workflow. However, I’ve found that Copilot offers some hidden benefits that can genuinely enhance your productivity and coding experience—if you know how to leverage it effectively.

What is GitHub Copilot?

GitHub Copilot is an AI-powered code completion tool that suggests whole lines or blocks of code as you type. It’s trained on billions of lines of code from public repositories, making it a valuable assistant for both novice and experienced developers.

  • Pricing: $10/month or $100/year (as of February 2026)
  • Best for: Developers looking to speed up coding tasks or explore new coding patterns.
  • Limitations: It may generate incorrect or insecure code and doesn't always understand complex project contexts.
  • Our take: We use Copilot for quick prototypes and to explore unfamiliar libraries, but we remain vigilant about reviewing its outputs.

10 Hidden Benefits of GitHub Copilot

1. Accelerated Prototyping

With Copilot, you can whip up prototypes in a fraction of the time. Instead of wrestling with syntax or library functions, you can focus on your ideas.

  • Example: When building a new feature, I often let Copilot suggest initial implementations.
  • Time saved: Up to 50% faster in creating initial drafts.

2. Learning New Languages

If you’re venturing into a new programming language, Copilot can help you get up to speed by suggesting idiomatic patterns and best practices.

  • Use case: When I started learning Rust, Copilot suggested idiomatic ways to handle memory management.
  • Limitations: It might not always provide context-specific guidance.

3. Improved Code Quality

While it’s not foolproof, Copilot can help avoid common pitfalls by suggesting best practices or established patterns.

  • Example: It often reminds me to handle errors when I forget to check for edge cases.
  • Caveat: Always review its suggestions critically.

4. Code Documentation

Generating comments and documentation can be tedious. Copilot can help automate this process by suggesting comments based on the code you write.

  • Limitations: The quality of comments can vary, and sometimes they may be too generic.

5. Encourages Experimentation

Copilot encourages you to try new approaches by providing suggestions that you might not have considered. This can lead to innovative solutions.

  • Our take: I often find myself exploring alternative algorithms or libraries that I wouldn't have tried otherwise.

6. Enhanced Collaboration

When working in teams, Copilot can help maintain consistency in code style and structure by suggesting similar patterns across different files.

  • Example: It often aligns with the style of existing code, making merges smoother.

7. Quick Fixes and Refactoring

Copilot can assist in making quick fixes or refactoring code. Just start typing, and it can suggest the changes you need.

  • Use case: I’ve used it to quickly update outdated API calls across several files.

8. Supports Multiple Frameworks

Whether you’re working with React, Node.js, or Django, Copilot can adapt its suggestions based on the framework you’re using.

  • Limitations: It might not always be up-to-date with the latest versions or features.

9. Reduced Context Switching

By providing relevant suggestions as you type, Copilot allows you to stay focused on your task without constantly searching for documentation.

  • Our take: This has significantly reduced my context-switching time during development sessions.

10. Cost-Effective Learning Tool

For solo founders and indie hackers, Copilot can serve as a mentor of sorts, providing suggestions that can help you learn while you build.

  • Pricing: At $10/month, it’s a small investment for the potential learning and productivity gains.

Comparison of AI Coding Tools

| Tool | Pricing | Best For | Limitations | Our Verdict | |--------------------|-------------------|--------------------------------|-------------------------------------------|------------------------------------------| | GitHub Copilot | $10/mo | Prototyping, learning | May produce incorrect code | Great for quick suggestions | | TabNine | Free + $12/mo pro | Multi-language support | Limited context awareness | Not as powerful as Copilot | | Kite | Free | Python developers | Limited to Python, fewer language options | Good for Python, but not comprehensive | | Codex | $0-20/mo | Complex code generation | Requires some setup | Powerful but high learning curve | | Sourcery | $0-20/mo | Refactoring code | Limited to Python | Excellent for maintaining code quality | | Codeium | Free | General coding assistance | Newer tool, less community support | Promising but still evolving |

What We Actually Use

While we experiment with various tools, GitHub Copilot remains our go-to for rapid prototyping and exploratory coding. We also use Kite for its Python capabilities, but Copilot’s versatility is unmatched in our stack.

Conclusion: Start Here

If you’re still skeptical about GitHub Copilot, I encourage you to give it a shot. Start with a trial period and use it for small tasks to see how it fits into your workflow. While it’s not a replacement for a skilled developer, it can certainly enhance your coding process and help you learn new skills along the way.

Follow Our Building Journey

Weekly podcast episodes on tools we're testing, products we're shipping, and lessons from building in public.

Subscribe

Never miss an episode

Subscribe to Built This Week for weekly insights on AI tools, product building, and startup lessons from Ryz Labs.

Subscribe
Ai Coding Tools

10 AI Coding Tools That Will Drastically Reduce Your Debugging Time

10 AI Coding Tools That Will Drastically Reduce Your Debugging Time As a developer, whether you're just starting out or have years of experience, debugging can feel like a neverend

Oct 16, 20265 min read
Ai Coding Tools

10 Common Mistakes When Integrating AI Coding Tools into Your Workflow

10 Common Mistakes When Integrating AI Coding Tools into Your Workflow As developers, we’re always on the lookout for ways to streamline our workflow and boost productivity. Enter

Oct 14, 20264 min read
Ai Coding Tools

5 Myths About AI Coding Tools That Could Hurt Your Development Process

5 Myths About AI Coding Tools That Could Hurt Your Development Process As a solo founder or indie hacker, you might be lured by the promises of AI coding tools that claim to simpli

Oct 13, 20264 min read
Ai Coding Tools

5 Common Mistakes Developers Make When Using AI Coding Tools in 2026

5 Common Mistakes Developers Make When Using AI Coding Tools in 2026 As AI coding tools have become an integral part of a developer's toolkit in 2026, many are still stumbling over

Oct 12, 20264 min read
Ai Coding Tools

5 Myths About AI Coding Tools: What Every Developer Should Know in 2026

5 Myths About AI Coding Tools: What Every Developer Should Know in 2026 As we dive into 2026, the landscape of AI coding tools has evolved significantly, yet many developers still

Oct 11, 20263 min read
Ai Coding Tools

Why AI Coding Assistants Are Overrated for Beginners in 2026

Why AI Coding Assistants Are Overrated for Beginners in 2026 As a solo founder or indie hacker, it’s tempting to think that AI coding assistants are the silver bullet to jumpstart

Oct 10, 20263 min read