How to use GitHub Copilot in VS Code
GitHub Copilot in VS Code, install the official GitHub Copilot extension from the VS Code Marketplace, then sign in with your GitHub account and enable it in your editor. Once activated, Copilot provides AI-powered code completions and suggestions as you type.VERDICT
GitHub Copilot in VS Code for seamless AI-assisted coding integrated directly into your IDE with minimal setup.| Tool | Key strength | Pricing | API access | Best for |
|---|---|---|---|---|
| GitHub Copilot | In-editor AI code completion | Subscription-based after trial | No public API | Real-time coding assistance in VS Code |
| ChatGPT (OpenAI) | Versatile conversational AI | Free tier + paid API | Yes, via OpenAI API | General coding help, explanations, and snippets |
| Tabnine | Multi-language code completion | Freemium | Yes | AI code completions across editors |
| Amazon CodeWhisperer | AWS ecosystem integration | Free tier + paid | No public API | Cloud-native development assistance |
Key differences
GitHub Copilot integrates directly into VS Code as an extension, providing inline AI code completions based on your current file and context. It requires a GitHub account and a subscription after the trial period. Unlike general chatbots like ChatGPT, Copilot is optimized for real-time coding assistance rather than conversational interaction.
Copilot does not expose a public API, so usage is limited to supported IDEs. It excels at suggesting code snippets, completing lines, and generating boilerplate code seamlessly within the editor.
Side-by-side example
Using GitHub Copilot in VS Code to generate a Python function:
def fibonacci(n):
# Copilot suggests the function body automatically
if n <= 0:
return []
elif n == 1:
return [0]
fib_seq = [0, 1]
while len(fib_seq) < n:
fib_seq.append(fib_seq[-1] + fib_seq[-2])
return fib_seqChatGPT equivalent
Using ChatGPT via OpenAI API to generate the same Python function:
from openai import OpenAI
import os
client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
response = client.chat.completions.create(
model="gpt-4o",
messages=[{"role": "user", "content": "Write a Python function to generate the first n Fibonacci numbers."}]
)
print(response.choices[0].message.content)def fibonacci(n):
if n <= 0:
return []
elif n == 1:
return [0]
fib_seq = [0, 1]
while len(fib_seq) < n:
fib_seq.append(fib_seq[-1] + fib_seq[-2])
return fib_seq When to use each
Use GitHub Copilot when you want AI-powered code completions directly inside VS Code with minimal context switching. It is ideal for live coding, boilerplate generation, and inline suggestions.
Use ChatGPT when you need detailed explanations, multi-turn conversations, or code generation outside the editor environment, such as in documentation or complex problem solving.
| Scenario | Use GitHub Copilot | Use ChatGPT |
|---|---|---|
| Real-time code completion | Yes | No |
| Detailed code explanations | No | Yes |
| Multi-turn coding help | No | Yes |
| IDE integration | Yes | No |
| API access for automation | No | Yes |
Pricing and access
| Option | Free | Paid | API access |
|---|---|---|---|
| GitHub Copilot | 14-day free trial | Subscription $10/month or $100/year | No |
| ChatGPT (OpenAI) | Free tier with limits | Pay-as-you-go API pricing | Yes |
| Tabnine | Limited free tier | Subscription plans | Yes |
| Amazon CodeWhisperer | Free tier available | Paid tiers for enterprise | No |
Key Takeaways
- Install the official GitHub Copilot extension in VS Code and sign in with your GitHub account to start using AI code completions.
- GitHub Copilot excels at inline, real-time code suggestions within VS Code, unlike ChatGPT which is better for conversational coding help.
- ChatGPT offers API access for automation and multi-turn interactions, while Copilot is IDE-focused with no public API.
- Choose Copilot for seamless coding productivity in VS Code; choose ChatGPT for broader coding assistance and explanations.