Why GitHub Copilot is Overrated: 3 Common Misconceptions

As a solo founder or indie hacker, you’re always on the lookout for tools that can genuinely enhance your productivity and coding efficiency. GitHub Copilot has been touted as a must-have AI coding assistant, but in our experience, it’s not all it’s cracked up to be. Here are three common misconceptions about GitHub Copilot that we’ve encountered, along with the realities that you should consider before jumping on the bandwagon.

Misconception 1: GitHub Copilot Can Write Complete Code for You

Reality: It’s More of a Suggestion Tool

While GitHub Copilot can generate code snippets based on context, it often misses the mark when it comes to writing complete, functional code. You might find it helpful for quick suggestions or boilerplate code, but relying on it for complex logic is a gamble.

• What it does: Provides code suggestions based on your comments and existing code.
• Pricing: $10/month per user, no free tier.
• Best for: Quick code snippets or repetitive tasks.
• Limitations: Doesn’t understand complex business logic, and often generates incorrect or insecure code.
• Our take: We use Copilot for repetitive boilerplate, but we wouldn’t trust it with critical features.

Misconception 2: It Saves You Tons of Time

Reality: There’s a Learning Curve

Using GitHub Copilot can initially slow you down. You’ll spend time reviewing and debugging its suggestions, which can negate any time savings. If you’re not already familiar with the language or framework, you might find yourself confused by its outputs.

• What it does: Generates code suggestions based on context.
• Pricing: $10/month per user, no free tier.
• Best for: Experienced developers looking for quick code hints.
• Limitations: Requires a solid understanding of the codebase to weed out bad suggestions.
• Our take: It’s helpful for experienced developers but can be frustrating for beginners.

Misconception 3: It’s Perfect for Every Programming Language

Reality: It’s Better Suited for JavaScript and Python

GitHub Copilot shines with languages like JavaScript and Python but struggles with more niche programming languages or frameworks. If you’re working in less common environments, you may find its suggestions lack relevance or clarity.

• What it does: Provides contextual code suggestions based on the language used.
• Pricing: $10/month per user, no free tier.
• Best for: JavaScript and Python developers.
• Limitations: Not reliable for languages like Rust or Haskell.
• Our take: We primarily use it for JavaScript projects; for other languages, we stick to traditional methods.

Comparison Table: GitHub Copilot vs. Other AI Coding Tools

| Tool Name | Pricing | Best For | Limitations | Our Verdict | |------------------|-------------------|-----------------------------|----------------------------------------|--------------------------------------| | GitHub Copilot | $10/mo/user | JavaScript, Python | Poor with niche languages | Helpful for boilerplate, not complex | | Tabnine | Free + $12/mo | Multi-language support | Limited free features | Good for diverse projects | | Codeium | Free | Fast code suggestions | Limited language support | Great for quick tasks | | Sourcery | Free + $16/mo | Python code improvement | Python only | Excellent for Python developers | | Replit | Free + $20/mo | Collaborative coding | Performance issues on large projects | Best for team coding sessions | | Ponicode | Free + $29/mo | Testing and code coverage | Limited to JavaScript and TypeScript | Good for improving test coverage |

What We Actually Use

In our day-to-day workflow, we’ve found that while GitHub Copilot has its place, we rely more on a combination of Tabnine for broader language support and Sourcery for our Python projects. If you're expecting Copilot to be a one-stop solution, you might end up disappointed.

Conclusion: Start Here

If you’re considering GitHub Copilot, our recommendation is to approach it with realistic expectations. Use it as a complementary tool rather than a crutch. For indie hackers and solo founders, it’s often more effective to combine it with other tools that fill in the gaps where Copilot falls short.