Why GitHub Copilot is Overrated: What Most Users Get Wrong

As a solo founder or indie hacker, you’re always on the lookout for tools that can save you time and boost your productivity. GitHub Copilot has been a hot topic in the coding community, often hailed as the magic solution for writing code faster. But here’s the truth: it’s overrated. Many users have misconceptions about what it can actually do, and it’s not the silver bullet some make it out to be. Let’s unpack why that is.

Misconception 1: Copilot Can Write Code for You

What it actually does: GitHub Copilot suggests code snippets based on the context of what you’re writing. It’s like an autocomplete for coding.

Limitations: It doesn't understand your project’s unique architecture or requirements. You still need to validate and understand the suggestions it makes.

Our take: We’ve tried using Copilot to speed up our coding process, but often found ourselves spending more time reviewing and modifying its suggestions than if we had just written the code ourselves.

Misconception 2: It’s Always Up-to-Date

What it actually does: Copilot is trained on a vast dataset of publicly available code, which means it might not have the latest practices or frameworks.

Limitations: If you’re using cutting-edge libraries or specific versions, Copilot might suggest outdated or deprecated methods.

Our take: We often work with the latest frameworks, and we’ve found that Copilot doesn’t always keep pace. We had to double-check its suggestions against official documentation, which negated any time savings.

Misconception 3: It Reduces Bugs

What it actually does: Copilot can generate code that appears correct but doesn’t guarantee bug-free results.

Limitations: It lacks the ability to understand the broader application logic or edge cases, which means you’re still responsible for debugging.

Our take: In our experience, we’ve ended up with just as many bugs using Copilot as we did without it. It’s not a replacement for thorough testing and debugging.

Tool Comparison: GitHub Copilot vs. Other Coding Assistants

Here’s a look at how GitHub Copilot stacks up against other coding assistants:

| Tool | Pricing | Best For | Limitations | Our Verdict | |---------------------|-------------------------------|-----------------------------------|----------------------------------------------------|----------------------------| | GitHub Copilot | $10/mo, free for students | General code suggestions | Outdated suggestions, requires validation | Overrated, needs context | | TabNine | Free tier + $12/mo pro | Autocompletion for multiple languages | Limited to completion, not full code generation | Good for quick completions | | Codeium | Free | Open-source code suggestions | Limited support for proprietary codebases | Great for open-source work | | Sourcery | Free tier + $19/mo pro | Improving existing code quality | Doesn’t generate new code | Good for refactoring | | Replit | Free tier + $7/mo pro | Collaborative coding | Limited to Replit platform | Good for team projects | | Kite | Free | Python autocompletion | Limited to Python, not as robust as others | Great for Python coders |

What We Actually Use

While we’ve experimented with GitHub Copilot, we’ve found that tools like TabNine and Sourcery provide more value in terms of reducing friction in our coding workflow. They address specific needs better than Copilot. If you're looking for reliable suggestions without the overhead of reviewing every output, these tools are worth considering.

Conclusion: Start Here

If you’re considering GitHub Copilot, think again. While it has its moments, it often demands more effort than it saves. Instead, explore alternatives like TabNine and Sourcery based on your specific coding needs. They provide practical benefits without the hype.

Remember, the best tool is one that fits your workflow seamlessly—not just the latest trend.