ChatGPT Vs GitHub Copilot | Difference Between Them

ChatGPT and GitHub Copilot are powerful AI (Artificial intelligence) tools, but they are developed differently with different use case scenarios. Although both can help users write code very efficiently and provide code snippets, they are designed with different intents and different capabilities. But to understand which one is best suited for your needs; you first need to understand the differences between them.

While ChatGPT is a free and somewhat generalized all-in-one type of AI solution for all sorts of uses, GitHub Copilot is a paid tool designed to help professional developers. It supports a wide range of programming languages, which makes it an ideal tool for most computer programmers. Read on for a detailed comparison between these two AI for coding.

ChatGPT vs GitHub Copilot: A Detailed Comparison

Before diving into details, here’s a quick comparison between these two:

Aspect	ChatGPT	GitHub Copilot
Purpose	Conversational AI model	AI-powered code completion tool
Functionality	Generates natural language responses	Auto-completes code snippets and suggest code
Training Data	Internet text	Public code repositories on GitHub
User Interaction	Chat-based conversations	Integrated into code editors for real-time coding
Context	General information and discussions	Code-specific suggestions and completions
Target Audience	General users	Developers
Application	Chat interfaces, applications	Code editors, integrated coding environments
Use Case Examples	Answering coding questions	Auto-completing code, suggesting code snippets
Customization	Limited control over responses	Customizable to some extent through user feedback
Scope	Wide range of topics and discussions	Focused on coding-related tasks
Coding Accuracy	Fairly accurate	Excellent accuracy
Pricing	$ 20 a month, plus extra for volume use	$ 19 a month

1. Overall

GPT is short for Generative Pre-trained Transformer. It’s an advanced AI system, developed by OpenAI. It utilizes a neural network model trained on vast internet data to simulate human thought. It’s been trained on internet text and image data to generate responses that are human-like. ChatGPT can answer questions, engage in conversations and create written content within seconds. 

GitHub Copilot is developed by both GitHub and OpenAI. It aims to enhance coding efficiency in Visual Studio Code, Visual Studio, Neovim, and JetBrains IDEs. It uses context from comments and code to suggest lines or entire functions in real-time. It can access codes from public repositories on GitHub.

With its strength and depth of abilities to assist in coding, GitHub is the clear winner here. However, if we talk about features and capabilities, ChatGPT is the better solution.

2. Accuracy

ChatGPT can be prone to errors and may not have the most up-to-date data. But it is accurate most of the time, especially GPT-4. It is less likely to provide answers that OpenAI doesn’t allow it to. It is also 60% less likely to provide made-up answers. So, when it comes to coding, human verification is a must.

GitHub Copilot also has accuracy issues. Users accept around 26% of its completions, with higher rates in languages like Python. It doesn’t generate perfect code and may rely on outdated libraries.

Languages like Python, JavaScript, TypeScript, and Go tend to work better with GitHub Copilot. Splitting code into smaller functions, using meaningful names, and providing clear instructions improves its accuracy. Still, you should carefully test and review all codes from GitHub Copilot.

So, when it comes to accuracy, GitHub Copilot provides more accurate lines of code.

3. Integration

ChatGPT can be used with other applications through an API (Application Programming Interface) to generate responses. It has plugins for platforms like Kayak, Expedia, OpenTable, Slack, and Shopify, and supports various programming languages.

GitHub Copilot too, is well integrated with popular development environments like Visual Studio Code, Visual Studio, Neovim, and JetBrains IDEs. It can analyze billions of lines of code in multiple languages.

However, note that Copilot is trained on publicly available code, so it may have limited integration with new libraries, frameworks, and APIs. The accuracy of generated code may be lower initially until the model has enough examples to learn from.

So, when it comes to integration, neither of them is a clear winner. The choice ultimately depends on what sort of integration you need for your work.

4. Security

When it comes to security, ChatGPT doesn’t provide any security. developers who are using it will have to build their own security system.

GitHub Copilot, however, enjoys the same level of security that’s been added to GitHub over the years. Additionally, for business users, they provide plenty of other privacy and security measures. It has a built-in vulnerability prevention system to ward off insecure patterns in coding, which makes its suggestions more secure.

So, in terms of security, GitHub Copilot is a clear winner.

5. As a Chatbot 

ChatGPT can respond conversationally, utilizing various texts from online sources. It can analyze, evaluate and provide recommendations that are accurate most of the time. It also excels at performing complex tasks like understanding images, generating something based on sketches, etc.

On the other hand, GitHub Copilot is specifically designed as an AI assistant for software coding, focusing deeply and effectively on that area only.

So, as an AI chatbot, ChatGPT wins.

6. Pricing

For casual or occasional users, ChatGPT is a clear choice because its basic version comes for free. But the plus version comes at $ 20 a month. Additionally, it costs about 3 to 6 cents for 1000 tokens, which translates to roughly 750 words.

GitHub Copilot costs $ 10 per month for individuals. But for business users, it’s $ 20 per month per user. The business version comes with additional features like privacy and security tools.

In terms of pricing, GitHub Copilot provides a better value for money. 

ChatGPT Vs GitHub Copilot | Out Verdict

ChatGPT performs relatively well in coding but excels in chat, translation, answering questions, and understanding images. It’s not made as a coding platform or as a coding assistant. Rather, you can integrate it into your development process.

In contrast, GitHub Copilot is specifically designed to generate code. It provides code snippets, rather than natural language responses like ChatGPT. Therefore, it’s preferable for both professional and amateur coders.

FAQs – Frequently Asked Questions and Answers 

Will ChatGPT replace programmers?

ChatGPT, GitHub Copilot, or any other AI tool will not replace human programmers. They are designed to significantly improve overall productivity. It still takes a skilled developer to connect lines of code in a structured way.

What is the Copilot alternative?

Google’s Duet AI is a good alternative to Microsoft’s GitHub Copilot.

Final Thoughts

ChatGPT is a good choice for beginner coders and people who don’t code often and are not part of the GitHub community. It helps developers write code faster. On the other hand, Copilot is mainly focused on speeding up code writing, while ChatGPT is a broader AI system that can be used for chat and some coding tasks.

In summary, ChatGPT is versatile and can generate various types of content, including software code. However, GitHub is a more powerful platform for software development.

In both cases, it’s important to remember that ChatGPT and Copilot are assistants for developers and content creators, not replacements. Human creativity and thinking are still crucial for creating high-quality work.