Ai Coding Tools

Why GitHub Copilot is Overrated: My Unfiltered Take

By BTW Team4 min read

Why GitHub Copilot is Overrated: My Unfiltered Take

As an indie hacker and solo founder, I've been on the hunt for tools that genuinely enhance productivity. Enter GitHub Copilot, the AI coding assistant that promises to revolutionize how we write code. However, after several months of using it, I’m ready to say it: GitHub Copilot is overrated. Let’s break down why I think that, and explore some alternatives that actually deliver.

What GitHub Copilot Claims to Do

GitHub Copilot is designed to assist developers by suggesting entire lines or blocks of code based on the context of what you’re writing. It’s powered by OpenAI’s Codex and integrates directly into popular code editors like Visual Studio Code.

  • Pricing: $10/month or $100/year
  • Best for: Developers looking for quick code completions.
  • Limitations: It often suggests outdated or insecure code, lacks understanding of complex business logic, and can be overly verbose.

The Reality of Using GitHub Copilot

1. Contextual Understanding: It’s Hit or Miss

While Copilot can generate some decent code snippets, it frequently fails to understand the broader context of your project. For instance, when I tried to implement a complex API integration, the suggestions were often irrelevant or required significant tweaking.

2. Security Concerns

One of the biggest drawbacks is the potential for security vulnerabilities. Copilot can suggest code that may be insecure, especially in sensitive applications. I found myself spending more time reviewing and vetting suggested code than actually writing new features.

3. Learning Dependency

For new developers, relying too heavily on Copilot can stunt growth. Instead of understanding the underlying principles of coding, it’s tempting to let the AI do the heavy lifting. I noticed that some junior developers on my team were becoming too dependent on it, leading to a lack of fundamental coding skills.

4. Pricing vs. Value

At $10/month, it may seem reasonable, but the value diminishes when you consider the time lost in correcting its suggestions. If you’re a solo developer or running a small team, those hours add up quickly.

5. Alternatives That Work

Instead of sticking with GitHub Copilot, consider these alternatives that I've found more practical:

| Tool | Pricing | Best For | Limitations | Our Take | |-----------------|-----------------------------|-----------------------------------|---------------------------------------|-----------------------------------| | Tabnine | Free, Pro at $12/mo | Code completion in various languages| Limited to code completion | We use this for quick suggestions. | | Codeium | Free | Open-source projects | Fewer integrations | We don’t use this due to limited language support. | | Sourcery | Free, Pro at $20/mo | Python code reviews | Limited to Python | We use this for refactoring advice. | | Kite | Free, Pro at $19.90/mo | Python and JavaScript | Limited language support | We don’t use this because of its niche focus. | | Replit | Free, Pro at $20/mo | Collaborative coding | Can be slow with large projects | We use this for quick prototyping. | | Snippet Store | Free | Snippet management | Not a coding assistant, just snippets | We use this for organizing our code snippets. | | Codex by OpenAI | $0 for limited use | Generating various code snippets | Limited to API access | We don’t use this due to API constraints. |

What We Actually Use

In our experience, we’ve shifted towards using Tabnine and Sourcery for their practical code suggestions and refactoring capabilities. They provide a better balance of context awareness and security, making them more reliable in our workflow.

Conclusion: Start Here

If you’re considering GitHub Copilot, I’d recommend trying out Tabnine or Sourcery first. They provide more reliable suggestions and fit better into a solo developer's budget. GitHub Copilot might be a fun tool to play around with, but it’s not a must-have for serious coding.

Remember, the ultimate goal is to enhance your workflow without sacrificing quality or security in your code.

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