![]() ![]() Even if this percentage approaches 100%, the developer will still need to input the project requirements (aka code) in a schema that Copilot will be able to understand. Using it requires you to have been able to write whatever snippet was autocompleted yourself. To use this tool effectively you have to deeply understand every line of code. In Copilots' technical preview, it was able to guess the content correctly in about 43% of the demonstrated cases. Just like Google needing relevant search terms to provide useful results, we can safely assume GitHub's Copilot and it's future iterations will also require valuable starting data to provide useful recommendations. Copilot works in a similar way, but instead of providing search results - it provides code suggestions. Google learns about you as a user and provides more relevant results based on your previous searches and your other online habits. GitHub Copilot is similar in functionality to Google's search suggestions, but for code. If you'd like to sign up to the technical preview, please join the waitlist. *GitHub Copilot is in technical preview, and thus not all users will be able to access this feature. Also check out our tutorial on how Copilot can translate code into other languages. You can read more about how GitHub Copilot works and the training set that powers this technology by heading to the Copilot website, and clicking "Learn more" in the top right. After your code has been explained you'll be able to provide feedback on how well Copilot did. They are both in technical preview stage. GitHub Copilot and GitHub Copilot Labs are very new features. This is a great way to learn and understand your code better. Experiment with various languages and compare the different results. ![]() Since this is a learning tool, you might be shown a slightly different result each time you "Ask Copilot". Your result will be immediately displayed: "Show example code": provides an input example and shows how the code calls a function and works."Code does following (English)": detailed explain (in plain English) of what the code does."Code does following": brief summary of what the code is does."Explain code": step by step what the code is checking for and what it is outputting.Here, you can choose how you want the code explained. Under this section, your highlighted code will appear, along with a box saying "Explain code". The GitHub Copilot Labs pane will show a section called "Explain". Now that you have the Copilot Labs sidebar open, highlight the chunk of code you'd like to better understand. If you still have your code highlighted, your screen should look something like: Click the icon and it will toggle open a new pane. The GitHub Copilot Labs icon will only appear if you have installed GitHub Copilot Labs. If you can't see it, click the ellipses and you'll find a list of any additional extensions you have installed. You'll find the toolbar on the left side of the screen. The GitHub Copilot Labs sidebar has everything you need to explain and translate code. I always click "Enable Globally" because then Copilot works for everything and not just the file I have open. You can find the Copilot icon in the bottom tray on the left hand side. Open your VS Code editor and open a file with code you want explained.Īlso, make sure you have Copilot turned on. If you have access to Copilot, you'll also be able download and install GitHub Copilot Labs. Make sure you have GitHub Copilot installed*. One of these features explains the code you have in plain language. This gives you access to some cool new features. If you have access to GitHub Copilot, you can download an additional extension, GitHub Copilot Labs. Whether you're a seasoned coder, or just starting out, GitHub Copilot's new feature will have everyone in a buzz.
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