GitHub Copilot vs Continue: Which One for Side Projects

In the age of AI coding assistants, developers have a plethora of tools at our fingertips. Two standout names in this category are GitHub Copilot and Continue. Both promise to enhance our coding experience, but when it comes to side projects, which one is truly better?

The Basics

Before exploring head-to-head comparisons, let’s introduce ourselves to these two tools.

GitHub Copilot is built by GitHub in collaboration with OpenAI. It integrates directly into your IDE, offering autocomplete suggestions and entire function generation as you code. It’s like having a pair programmer who’s always ready to help.

Continue, on the other hand, is designed for creating quality code snippets efficiently. Unlike Copilot, Continue emphasizes structured coding and learning, guiding users through tips and suggestions tailored to improve coding best practices.

Head-to-Head Comparison

Code Examples

To really showcase the differences, let’s look at how each tool handles coding tasks.

GitHub Copilot Example

# Assuming you're building a simple API with Flask
from flask import Flask, jsonify

app = Flask(__name__)

@app.route('/api/hello', methods=['GET'])
def hello():
 return jsonify(message="Hello from GitHub Copilot!")

if __name__ == '__main__':
 app.run(debug=True)

Using Copilot, when you start typing the function, it can suggest the entire structure of the API function for you.

Continue Example

# Continue will not just generate code, but provide you with additional context
def greet_user(name: str) -> str:
 """
 Greets the user with their name.
 Best practice: Always validate input and handle exceptions.
 """
 if not name:
 raise ValueError("Name cannot be empty")
 return f"Hello {name}!"

Continue not only generates the function but also reminds you of best practices and includes input validation, enhancing the coding experience.

Performance Data

When it comes to performance, both tools shine, but for different reasons.

• GitHub Copilot: Takes about 2-3 seconds to generate suggestions. High resource consumption on local machine depending on the size of the codebase.
• Continue: Generally provides suggestions within 1 second, maintaining a lightweight footprint.

Migration Guide

If you’re transitioning from one to the other, here’s a quick guide:

• From GitHub Copilot to Continue:
  1. Start by disabling Copilot in your IDE settings.
  2. Set up Continue in the same IDE or a compatible one.
  3. Explore Continue’s learning modules to get familiar with its unique syntax and suggestions.
• From Continue to GitHub Copilot:
  1. Uninstall Continue if needed, but consider keeping it for structured coding.
  2. Install GitHub Copilot via your marketplace or extensions.
  3. Begin coding and let Copilot assist you, but remember to review its suggestions critically.

Frequently Asked Questions

Can I use GitHub Copilot and Continue together?

Yes, but I wouldn’t recommend it for side projects. Each tool has a different focus, and using both may lead to confusion rather than clarity.

Is GitHub Copilot worth the subscription fee?

If you’re a frequent coder and depend on quick suggestions, then yes! If not, you might find Continue’s free features adequate.

Do both tools work in the same IDEs?

Not exactly. While Copilot is widely supported across many IDEs, Continue is currently focused on a smaller set but is expanding.

Final Word

Here’s the deal: while both GitHub Copilot and Continue have their strengths, GitHub Copilot is better for rapid coding sessions on casual side projects. However, if you’re looking to refine your coding skills and improve your techniques, Continue takes the edge. For me, it boils down to what you value more in your coding workflow. Happy coding!