Why GitHub Copilot Is Overrated: 5 Things People Get Wrong

GitHub Copilot has gained a lot of attention since its launch, but many builders and indie hackers are misunderstanding its capabilities and limitations. As someone who has used it extensively, I can say that while it’s a neat tool, it’s not the magic bullet some people make it out to be. Here are five misconceptions that I believe lead to its overrated status.

1. Copilot Will Write Code for You

Reality Check: Copilot assists in code completion but doesn't write entire applications from scratch.

While it can provide snippets and suggestions, it often requires you to refine and adapt what it generates. Relying on it to handle complex logic without understanding the underlying code is risky.

Our Take: We use Copilot for quick suggestions, but we still write most of our code ourselves. It’s a tool, not a replacement for coding skills.

2. It’s Always Accurate

Reality Check: Copilot generates code based on patterns in existing code, which can lead to inaccuracies.

Especially with less common programming languages or frameworks, the suggestions might not be optimal or even functional. We’ve encountered numerous instances where we had to correct or completely ignore its suggestions.

Limitations: It’s not infallible. Expect to spend time verifying and testing what Copilot suggests.

3. It’s Free for Everyone

Reality Check: GitHub Copilot is not free.

As of February 2026, Copilot costs $10 per month for individuals after a free trial. While this may be manageable for many, it’s not a small investment for side project builders who are already cost-conscious.

Pricing Breakdown:

• Free Trial: 30 days
• Individual Plan: $10/mo
• Business Plan: $19/mo per user

Our Take: If you’re just starting, you might want to explore other free coding assistants before committing to a subscription.

4. It's a Learning Tool

Reality Check: Copilot isn’t designed to teach you how to code.

While it can provide examples, it doesn’t explain why certain code is written that way or help you understand programming concepts. If you're a beginner looking to learn, you’ll need to supplement Copilot with dedicated learning resources.

Limitations: Use it as a reference, but don’t expect it to replace tutorials or coding courses.

5. Copilot Replaces Code Reviews

Reality Check: Relying on Copilot does not eliminate the need for code reviews.

While it can make suggestions, it doesn't understand the broader context of your project or team standards. Code reviews are essential for maintaining quality and consistency, and Copilot cannot replace human insight.

Our Take: We use Copilot to speed up coding, but we still prioritize thorough reviews to ensure quality.

Tool Comparison Table

| Tool | Pricing | Best for | Limitations | Our Verdict | |---------------------|---------------------|---------------------------|------------------------------------|------------------------------| | GitHub Copilot | $10/mo | Code completion | Inaccurate suggestions | Good for quick coding help | | Tabnine | Free tier + $12/mo | AI code completion | Limited language support | Use for basic suggestions | | Kite | Free | Python code assistance | Only supports Python | Great for Python developers | | Codex | $0 for limited use | Generating code from text | Expensive for larger use | Good for specific tasks | | Replit | $0-20/mo | Collaborative coding | Limited features on free tier | Good for team projects | | Sourcery | Free + Pro at $12/mo| Code quality improvements | Limited to Python | Useful for improving existing code |

What We Actually Use

In our stack, we primarily rely on GitHub Copilot for quick code suggestions but also integrate Tabnine for additional support. For Python-specific projects, we lean on Kite due to its strong focus on that language.

Conclusion: Start Here

If you’re considering GitHub Copilot, think of it as an assistant rather than a replacement for coding skills. Use it to complement your existing knowledge and tools, but don’t rely solely on it. Start with a trial to see if it fits into your workflow, and be prepared to put in the work to verify and adapt its suggestions.