Ai Coding Tools

Why GitHub Copilot is Overrated: What Most Developers Get Wrong

By BTW Team4 min read

Why GitHub Copilot is Overrated: What Most Developers Get Wrong

In 2026, it’s hard to escape the hype surrounding GitHub Copilot. The AI-powered coding assistant promises to boost productivity, reduce boilerplate code, and even help you learn new languages. But here’s the contrarian truth: while Copilot has its benefits, it’s often overrated, and many developers miss the mark on what it actually delivers.

Let’s dive into the reality of GitHub Copilot, its limitations, and why you might want to think twice before relying on it as your go-to coding partner.

What GitHub Copilot Actually Does

GitHub Copilot is an AI tool that suggests code snippets based on the context of what you’re writing. It leverages vast amounts of code from GitHub repositories to provide real-time suggestions as you type.

  • Pricing: $10/month for individuals, $19/month for teams.
  • Best for: Developers looking for quick code completions or those learning new languages.
  • Limitations: It can struggle with complex logic, provide outdated or insecure code, and sometimes offer suggestions that don’t fit your specific context.

The Hype vs. Reality

1. Overreliance on AI Suggestions

Many developers treat Copilot like a magic wand, expecting it to solve all their coding problems. In our experience, this often leads to a lack of understanding of the code being generated.

  • Our Take: We’ve tried using Copilot for a few side projects, but ended up rewriting much of the generated code because it didn’t align with our architecture.

2. Contextual Awareness is Limited

Copilot’s suggestions are based on patterns it recognizes, but it lacks true contextual understanding. This means that it might suggest code that works in one scenario but not in another.

  • Example: If you’re building a REST API and Copilot suggests an SQL query, it might not account for your specific database schema.

3. Security Risks

Copilot can inadvertently suggest code snippets that are insecure or outdated. For example, it might generate SQL queries vulnerable to injection attacks or outdated libraries that have known vulnerabilities.

  • Our Take: We’ve seen developers blindly trust Copilot’s output, which led to security flaws in their applications.

4. The Learning Curve

While Copilot can help new developers by providing examples, it doesn’t teach best practices or problem-solving skills. Instead of learning to code, users may become dependent on getting by with AI suggestions.

  • Our Take: For newcomers, it’s better to learn the fundamentals first. Relying solely on Copilot can hinder your growth as a developer.

5. Cost Considerations

At $10/month for individuals and $19/month for teams, Copilot isn't the cheapest tool out there. For indie hackers and side project builders, this cost can add up, especially if the tool doesn’t provide the expected value.

  • Alternative: If you’re looking for budget-friendly options, consider using free code completion tools or exploring open-source alternatives.

Tool Comparison: GitHub Copilot vs. Alternatives

| Tool | Pricing | Best For | Limitations | Our Verdict | |-------------------|---------------------------|--------------------------------|--------------------------------------|------------------------------| | GitHub Copilot | $10/mo individual, $19/mo team | Quick code suggestions | Limited context, potential security risks | Overrated, use cautiously | | TabNine | Free tier + $12/mo pro | AI code completion | Less context awareness compared to Copilot | More reliable for basic tasks | | Kite | Free, $19.90/mo pro | Python and JavaScript coding | Limited to specific languages | Good for Python developers | | Sourcery | Free, $12/mo pro | Python refactoring | Only for Python | Great for Python, not versatile | | Codeium | Free | General code suggestions | Still in development | Worth trying out | | Codeium | Free | General code suggestions | Still in development | Worth trying out |

What We Actually Use

In our stack, we tend to lean towards tools that provide more reliable output and require less dependency on AI. We use TabNine for quick suggestions and rely on our own coding practices for logic and security.

Conclusion: Start Here

If you’re considering GitHub Copilot, think about your specific needs and whether it aligns with your development style. For many, it can be a useful tool, but it shouldn't replace foundational coding skills or thorough code reviews.

For indie hackers and solo founders, I recommend starting with free or lower-cost alternatives like TabNine or Kite, and only opting for Copilot if you find a clear ROI on your coding time.

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