The first part of the article, we introduc GitHub Copilot. What it actually is, how it works, and we show some interesting statistics. In part two, we’ll look at the benefits, limitations, and challenges of using it and how to use it effectively.
The entry of artificial intelligence (AI) into the world of programming has brought new possibilities and tools that spe up software development and improve developer productivity . One of these innovative tools is GitHub Copilot , which uses advanc machine learning to automatically generate code . In this article, we will look at how to use this tool effectively and what are its advantages and limitations.
What is GitHub Copilot?
GitHub Copilot is a tool develop by GitHub in collaboration with OpenAI (the company behind the GPT model) that works as an extension to integrat development environments (IDEs). It is currently available in Azure Data Studio, JetBrains IDEs, Vim/Neovim, Visual Studio, and Visual Studio Code. GitHub Copilot helps developers write code more efficiently with the iraq phone number data ability to analyze code and context in real time . Bas on this, it then suggests the appropriate sections of code , so that developers do not have to write the entire code manually.
Two years after Copilot launch, GitHub did a study that came up with these numbers:
46% of new code is now written with AI
developers are 55% more productive ( source )
85% of developers feel more confident in the quality of their code
over 80% of developers spend less time on repetitive tasks and searches ( source )
How does GitHub Copilot work?
As a producing very long videos developer writes code, Copilot automatically suggests complementary blocks of code or even entire functions bas on the context and patterns of the input code. All this quickly and relatively accurately (a check is always ne).
It thus helps developers solve repetitive and trivial tasks. Copilot not only understands the code it has learn in public repositories, but it can also apply the functionality bw lists of your own code. It can thus correctly understand how you use the given function and propose a solution in accordance with the context.