With the context, it autocompletes comments mid-sentence.įor example, by adding a function, it generates a whole comment and a function in this case, it figured out the last function should be a multiply function, as seen below.Īnother cool feature of Copilot is the ability to see 10 full-page suggestions, instead of a single one-liner suggestion, and choosing which suits the code best. When continuing to write code and adding more comments, Copilot begins to understand the whole context of the code through its AI capabilities. While this autocomplete is similar to other general autocomplete functionalities, Copilot goes a step beyond. When typing a function description, for example, Copilot completes the whole function before a user finishes. Copilot’s main featuresĬopilot’s main feature is its autocomplete function. In this article, we’ll explore Copilot’s main functionalities, how to build a simple application using only Copilot, and its pros and cons. And while it’s currently still in its limited technical preview, those interested can sign up to join a waitlist to try it out. It understands Python, JavaScript, TypeScript, Ruby, and Go, as well as dozens of other languages because it’s “trained on billions of lines of public code,” per the Copilot website. It then uses all this information to suggest code snippets that developers can easily accept by pressing the Tab key on a keyboard. GitHub Copilot is the newest tool developed by GitHub to autocomplete code with the help of OpenAI.Ĭopilot generates smart code suggestions with context, such as docstrings, code comments, function names, or even file names. 1 week with GitHub Copilot: Building an app using only Copilot Evgeny Klimenchenko Follow Software Engineer, writer and photographer living in London, UK.
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