Ai Coding Tools

Why GitHub Copilot is Overrated and What to Try Instead

By BTW Team4 min read

Why GitHub Copilot is Overrated and What to Try Instead

As a solo founder or indie hacker, you’re always looking for ways to streamline your coding process. GitHub Copilot has been lauded as the ultimate AI coding assistant, but in our experience, it's overrated. While it may seem like the perfect solution for generating code snippets, its limitations can lead to more frustration than productivity. In this post, we'll explore why Copilot may not be the best choice for you and present some solid alternatives that can genuinely enhance your coding workflow.

The Limitations of GitHub Copilot

1. Context Awareness is Lacking

GitHub Copilot often generates code snippets that are out of context or not relevant to your specific project needs. This can lead to wasted time sifting through suggestions that don’t quite fit.

2. Dependency on Quality of Input

The quality of the generated code heavily relies on the comments and code you provide. If your input isn’t clear or specific, the output will be equally ambiguous.

3. Limited Language Support

While Copilot is improving, it still struggles with less common programming languages or frameworks. If you’re working in a niche area, you might find it less useful.

4. Pricing Concerns

At $10/month, it can add up, especially if you’re not getting the value you expected. For a side project, that’s a tangible cost that should be justified.

Alternatives to GitHub Copilot

Here are some alternatives that we believe are more effective and worth considering:

| Tool Name | What It Does | Pricing | Best For | Limitations | Our Take | |--------------------|-----------------------------------------------------------|----------------------------|------------------------------|----------------------------------------------|------------------------------------| | TabNine | AI-powered code completion for various languages. | Free tier + $12/mo pro | General coding assistance | Can be less intuitive than Copilot | We use this for quick completions. | | Codeium | AI code completion tool that supports multiple languages. | Free | Beginner-friendly coding | Limited advanced features | A good free alternative. | | Kite | AI-powered coding assistant that integrates with IDEs. | Free + $19.90/mo pro | Python developers | Less support for non-Python languages | We don’t use it because of this. | | Replit Ghostwriter | AI code suggestions built into the Replit IDE. | Free tier + $20/mo pro | Collaborative coding | Best within the Replit environment | Great for team projects. | | Codex by OpenAI| Advanced AI model for generating code from natural language. | $0.01 per token | Complex project requirements | Requires more setup and understanding | We’ve tested it for specific tasks. | | Sourcery | AI code review tool that improves code quality. | Free + $19/mo pro | Code quality enhancement | Doesn’t generate new code | It’s great for refactoring. | | Ponicode | AI tool focused on writing unit tests. | Free + $15/mo pro | Test-driven development | Limited to testing scenarios | We find it useful for QA. | | DeepCode | AI-powered code reviews that find vulnerabilities. | Free + $25/mo pro | Security-focused projects | Doesn’t help with code generation | Use it to enhance security. | | Codemagic | CI/CD tool for mobile apps that integrates AI suggestions.| Free tier + $49/mo pro | Mobile app developers | Not focused on code generation | We don’t use it for regular coding. | | Jedi | Autocompletion library for Python. | Free | Python projects | Less comprehensive than Copilot | We find it useful for Python only. |

What We Actually Use

In our experience at Built This Week, we’ve found that a combination of TabNine for general coding assistance and DeepCode for ensuring code quality covers most of our needs without the downsides we encountered with GitHub Copilot.

Final Thoughts: Start Here

If you’re currently using GitHub Copilot and feeling underwhelmed, consider trying out TabNine or Codeium for a more tailored experience. They provide better context awareness and are more adaptable to your specific coding environment.

Ultimately, the best tool is the one that fits seamlessly into your workflow and enhances your productivity without adding unnecessary complexity.

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