GitHub Copilot and ChatGPT are the most popular artificial intelligence writing tools known today. While both of them have the power to help us with writing efficiently and provide code snippets, they have different abilities and are designed (almost) for various purposes.
We'll take a deep dive into the features, abilities, and use cases of each of them to better understand when to use GitHub Copilot and when to use ChatGPT.
So, let's begin!
What is ChatGPT?
ChatGPT is a powerful language generation model developed by OpenAI. It's been trained on a vast quantity of internet text and is competent in creating text that resembles human writing.
Its capabilities are not restricted to just generating text but it's also adjusted for various natural language processing tasks such as language translation, answering questions, summarizing text, suggesting code parts on different programming languages, and others.
Many users use ChatGPT to improve SEO rankings it can generate catchy titles, descriptions, and even article outlines. Even though it does a good job, it should be used with care in mind.
See how ChatGPT managed to write a technical article!
How ChatGPT works
As its name says, ChatGPT is a chat, you can have a dialog on various subjects, and when given a prompt, it generates text that continues the dialog.
You can ask for anything, in my case I tested it many times by providing me code examples, such as generating unit tests for a class, ready solutions for some functions (just for test), and other programming things.
Keep in mind its model is based on events that happened until 2021, and it can't say anything about what happened after 2021 (for now).
ChatGPT works better if you give him more detailed instructions, but to keep them always writing is a waste of time, that's many users across the internet came up with a collection of chatgpt prompts on a vast area of usage.
Use cases for ChatGPT
ChatGPT can be used for various tasks such as text generation, language translation, question answering, and more.
Some specific examples include:
- Text summarization - ChatGPT is trained to summarize long documents or articles into a shorter version.
- Language Translation - ChatGPT can translate text from one language to another with high accuracy.
- Chatbot - It can be integrated into a chatbot to generate human-like responses to user queries.
- Writing code - Even though it's not always accurate, it can still write good code examples, based on the prompt it was given.
- Writing code documentation - Besides code writing, it can generate user-friendly documentation of your code. (or even writing unit tests)
What is GitHub Copilot?
GitHub Copilot is a code completion tool that uses AI to suggest lines of code while you're writing.
How GitHub Copilot Works
GitHub Copilot uses machine learning to understand the context of your code and suggests lines of code to complete your code.
It excels when used from the beginning of a project, as it can generate functions, variable names, and algorithms that align with your programming style.
However, using it in the middle of a project may result in suggestions for better code that require significant rewriting of existing code.
Copilot is an AI pair programmer who can learn from the code that you write and get better over time.
Benefits of using Copilot
Using Copilot can help to improve your code writing efficiency and reduce the time spent on coding.
Some specific benefits include:
- Autocomplete code suggestions - Copilot suggests lines of code that you can use to complete your code.
- Intelligent variable and function suggestions - Copilot suggests variable and function names that are relevant to the context of your code.
Github Copilot vs. ChatGPT for coding
Before we get into details, let's see how Copilot and Chat GPT manage to write some code.
By default, the timezone is America/Los_Angeles.
Here's what I got:
Now let's see how Copilot GitHub is managing it. I created a comment and put the same query.
Here's what Copilot generated for me:
Not bad at all!
Copilot has created a much shorter code in this case, while ChatGPT has a more descriptive one, but both of them have done a pretty good job.
What do I choose? I choose Copilot for coding, as it is entirely integrated into my IDE and helps me code much faster than before. It is also good at writing code documentation and unit tests.
Copilot is designed to help developers to write code faster and more efficiently. Is just for coding!
On the other hand, ChatGPT serves as an AI assistant, providing optimized solutions and suggestions for refactoring code. It can also guide specific language features, and the use cases for anonymous functions, to ensure safety and security in your project.
While GitHub Copilot is entirely focused on code, ChatGPT has various abilities in different areas, such as SEO optimization, writing poems, and ebooks, giving good ideas on blog articles, writing article outlines, and everything related to writing.
Does Github Copilot use ChatGPT?
GitHub Copilot is not integrated with ChatGPT directly, but yes, GitHub Copilot uses the OpenAI Codex to propose code and complete functions in real time, right from your editor.
GitHub Copilot offers suggestions from a model that OpenAI built from billions of lines of open-source code.
In conclusion, AI-powered writing tools like ChatGPT and GitHub Copilot have the potential to revolutionize the way we write and improve our efficiency. Every day I use Copilot and it keeps imprese me, it works great with Observables as well.
In this article, I tried to make the difference between chat gpt vs copilot, but what to choose, is your choice!
Let me know what you think about these tools, and if we should be worried they can replace our jobs?!