Why GitHub Copilot is Overrated: Debunking 3 Myths

As a solo founder or indie hacker, you’re always on the lookout for tools that can make your life easier and your projects more efficient. Enter GitHub Copilot, which has been touted as the ultimate coding assistant. But is it really the magic bullet that everyone claims it to be? After using it for several projects, I’ve come to realize that GitHub Copilot is overrated. Let’s break down three common myths surrounding this tool and explore what you should know before diving in.

Myth 1: GitHub Copilot Can Replace Your Coding Skills

The Reality

While GitHub Copilot can generate code snippets and suggest solutions, it certainly doesn’t replace the need for solid coding skills. If you rely solely on Copilot, you might end up with code that doesn't fit your specific use case or is poorly optimized. In our experience, this tool is best used as a supplemental resource rather than a crutch.

Limitations:

• Often produces boilerplate code that requires significant tweaking.
• Can struggle with context, leading to suggestions that don’t fit the project.

Pricing Breakdown

• GitHub Copilot: $10/month or $100/year.
• Best For: Developers looking for quick code suggestions, but not for those who are beginners.

Myth 2: It Saves You Tons of Time

The Reality

Sure, Copilot can speed up certain repetitive tasks, but it’s not a time-saver across the board. For complex logic or unique problems, you might find yourself spending just as much time refining the output as you would by coding it from scratch.

Our Take: We found that while Copilot helped us with some basic functions, we still needed to spend time debugging and refining the generated code.

Comparison of Time Savings

| Task Type | Time with Copilot | Time without Copilot | |--------------------------|-------------------|----------------------| | Simple functions | 10 mins | 15 mins | | Complex algorithms | 1 hour | 45 mins | | Refactoring existing code| 30 mins | 30 mins |

Myth 3: It Understands Your Project Context

The Reality

GitHub Copilot uses machine learning to suggest code based on the context it has, but it doesn’t truly “understand” your project. This can lead to suggestions that don’t align with your architecture or business logic.

Limitations:

• Often misses nuances specific to your project.
• Can produce insecure or inefficient code if not double-checked.

Our Experience

We tested Copilot on a recent side project and found that it suggested functions that were relevant to the keywords in our comments but missed the bigger picture of what we were trying to achieve.

What We Actually Use

After experimenting with several coding tools, here’s our current stack for AI-assisted coding:

| Tool | Pricing | Best For | Limitations | Our Verdict | |----------------------|--------------------------|-------------------------------------|-----------------------------------------|-------------------------------| | GitHub Copilot | $10/month | Quick code suggestions | Context understanding issues | Use sparingly | | Tabnine | Free tier + $12/mo | Code completion for various languages| Less effective with complex logic | Great for small projects | | Replit | Free, $7/month for Pro | Collaborative coding sessions | Limited offline capabilities | Use for team projects | | Codeium | Free | AI-powered code suggestions | Basic features compared to Copilot | Worth trying | | Sourcery | Free tier + $19/mo | Code refactoring and improvement | Limited language support | Focused on Python only | | Kite | Free, Pro at $16.60/mo | AI-assisted coding across languages | Slower than Copilot | Good for beginners |

Conclusion: Start Here

If you’re considering GitHub Copilot, it’s important to approach it with realistic expectations. While it can be a helpful tool, it’s not a substitute for strong coding skills, and it won't save you as much time as you might hope.

Instead, consider combining it with other tools that complement its capabilities. For those serious about coding, a mix of AI tools can help you find the right balance between efficiency and quality.

For a more comprehensive exploration of tools and building in public, check out our podcast, Built This Week, where we share what we’re testing and shipping each week.