Copilot helped me fix the issue with a suggestion. I’ve been working on a computer vision solution and switched the axes of an operation around completely flipping an image. Not many will know this, but Copilot can also be used to debug common mistakes in your code. However, when you type a comment with a problem statement, it will more likely suggest a function or even a full file. Usually, Copilot will suggest a line of code or part of a line of code when you start typing pieces of recognizable syntax. I can type in a comment with a description of what I want and Copilot can suggest how to solve the problem in the language I’m working with at that point. With Github Copilot I don’t have to start hunting for the manual right away. Often, I find myself searching books and Google for information.

And I have to be honest here: I don’t know every little tiny detail of every language and tool. As many of my colleagues know, I’m working on a huge variety of languages and tools. There are a number of reasons why I believe Github copilot can be a very powerful piece of technology.

Why use Github copilot in the first place? In this post I’ll quickly go over the use cases and cover which plugins you need to get copilot working in your favorite editor/IDE. In the past few months, I’ve been testing Github Copilot on my own projects and learned a ton about things like use cases and plugins for various IDEs.

This is awesome news for us because we can now learn how much copilot is going to help us with our code. We’re starting with a pilot to test Github Copilot at Info Support.

Visual studio code copilot