AI

GitHub Copilot vs. ChatGPT: What are the Key Differences Between them?

If you are stuck in a coding rut and need help getting out of it, then which tool will you choose- GitHub Copilot or ChatGPT? If you are not sure which generative AI tool to use, then we have got you covered.

In recent years, the tech industry has seen an explosion of AI-powered tools designed to streamline various tasks and improve productivity. Two such tools that have garnered significant attention are GitHub Copilot and ChatGPT.

GitHub Copilot is mostly used for coding assistance, on the other hand, ChatGPT is quite a versatile tool that can carry out several different tasks. Comparing the two is like comparing a race car to an SUV. While the race car excels at one specific task (going fast), the SUV is a more versatile vehicle that can handle various terrains and conditions.

If you are stuck in a coding rut and need help getting out of it, then which tool will you choose—GitHub Copilot or ChatGPT? If you are not sure which generative AI tool to use, then we have got you covered. In this article, we will look into the key differences between Copilot and ChatGPT, and which one you should use. 

Before we delve into the differences, we have to look into the two AI tools and what they offer, Only then will we be able to understand which one is better. 

Difference Between Gemini vs Bard vs ChatGPT vs Copilot vs Grok vs Ernie

What is the GitHub Copilot? What features does it offer?

GitHub Copilot is an AI-powered tool designed by teams from GitHub and OpenAI to assist developers with coding tasks. It uses machine learning to analyze code and provide suggestions for code completion, refactoring, and documentation. Some of its key features include:

  • Code Completion: GitHub Copilot can predict and suggest code completions as you type, saving time and reducing errors.
  • Refactoring: It can identify opportunities for code refactoring and provide suggestions for improvement.
  • Documentation: Copilot can generate documentation for code, making it easier to understand and maintain.
  • Multiple Language Support: It supports multiple programming languages, including Python, JavaScript, Java, C#, and more.
  • API Integration: Based on your API documentation, Copilot can create the basic code structure, including authentication, request processing, and response parsing for seamless API integration.
  • Customizable Settings: You can customize the settings to suit your preferences and needs.

For an experiment, GitHub recruited 95 professional developers and divided them into two groups of 45 and 50. The 45-member team was given access to Copilot and the 50-member team was not. Compared to the developers who did not use GitHub Copilot, the developers who used GitHub Copilot finished their work 55% faster. It took an average of 1 hour and 11 minutes for the team using Copilot, compared to 2 hours and 41 minutes for the developers who did not use the AI tool. 

What is ChatGPT?What features does it offer?

ChatGPT is a large language model (LLM) developed by OpenAI that uses deep learning to generate human-like text. It is trained on a massive corpus of data from the internet and can be used for a wide range of tasks, ranging from drafting haikus to writing advanced codes. Some of its key features include:

  • Text Generation: ChatGPT can generate coherent and contextually relevant text on a given prompt.
  • Open-ended answers: ChatGPT can answer questions by extracting information from its training data and giving relevant responses.
  • Sentiment Analysis: It can analyze the sentiment of a given text and determine whether it is positive, negative, or neutral.
  • Code Generation: This powerful generative AI model can write code from scratch. Even a complete novice can create complex programs with its help.

GitHub Copilot vs ChatGPT: Comparing the two AI Tools

FeatureGitHub CopilotChatGPT
Training DataTrained on public GitHub repositoriesTrained on a diverse range of internet text, including coding examples
Programming LanguagesSupports multiple programming languagesfree version is available $20/monthly for Plus Version; $25/monthly for the Teams Version
Input FormatCode comments or partial code snippetsText prompts with coding-related queries
Output FormtGenerates code suggestions or completionsGenerates coherent and contextually relevant code
User InteractionReactive to developers’ coding patternsResponsive to natural language coding queries
Code QualityGenerates idiomatic and syntactically correct codeMay produce code that requires additional refinement
Intended UserSpecifically designed for developers in coding environmentsGeneral-purpose language model with coding capabilities
Integration with IDEsIntegrated with code editors (e.g., VS Code)Is not integrated with code editors and platforms
AccessAvailable through IDE plugin Accessible via OpenAI API for broader coding applications
Pricing Output Formatfree version is available for $20/monthly for the Plus Version; and $25/monthly for the Teams Version
GitHub Copilot vs ChatGPT

GitHub Copilot vs. ChaGPT: Which is Better?

GitHub Copilot and ChatGPT are both powerful generative AI tools that can help streamline your productivity. Ultimately, only you can decide which tool is better and suits your preferences. 

If you are a professional developer or programmer and want a no-nonsense tool for your tasks, then GitHub Copilot is the perfect choice for you. It can quickly generate code snippets and suggestions based on your input, streamlining your coding process and increasing productivity. 

However, if you are looking for a more general-purpose language model with coding capabilities that can be integrated with various IDEs and platforms, then ChaGPT might be a better option for you.

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This post was last modified on February 23, 2024 7:15 am

Raya

Raya is a tech enthusiast diving deep into New-Age technology, especially Artificial Intelligence (AI) and Machine Learning (ML). She is passionate about decoding the complexities and uses of new-age tech. Raya is on a mission to write articles that bridge the gap between technical jargon and everyday understanding, making AI and ML accessible to a wider audience.

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