An AI pair that lives in your editor. It completes your code, explains what's already there, writes tests and helps fix bugs — so you stay focused on solving the problem.
Getting started
Once your seat is assigned, setting it up in your editor takes just a few minutes.
Use the Request AI Access button to get a Copilot Business seat tied to your account in Proteor's GitHub organisation.
Sign in to GitHub with your account and accept the invitation to join the Proteor organisation.
Add the GitHub Copilot extension in your editor — VS Code, Visual Studio, a JetBrains IDE or Neovim.
Connect the extension to your GitHub account. A checkmark in the status bar confirms Copilot is active.
Accept a suggestion with Tab, or open Copilot Chat to ask a question about your code.
What it does best
Inline suggestions as you type — from finishing a line to drafting a whole function.
Ask about your code, request an explanation or a refactor — without leaving the editor.
Ask for unit tests on a function and get a solid base to build on.
Paste an error, ask for the likely cause and a fix to evaluate.
/explain, /tests, /fix and /doc for targeted actions in a single word.
Python, C#, JavaScript, C++, SQL and many more — in the editor you already use.
At Proteor
Boilerplate — let Copilot write the repetitive scaffolding while you own the business logic.
Unfamiliar code — use /explain to understand a module before you change it.
Unit tests — cover more cases in less time with a first batch of tests.
Regex, SQL, shell — describe the need, verify the result, save time on syntax.
From your colleagues
Real ways developers use Copilot day to day. Got a trick of your own? Share it through “Request AI Tool”.
I write a clear comment describing what the function should do first, then let Copilot propose the implementation. The result is far better than starting from a blank page.
Before changing an old module I select it and run /explain in chat. I grasp the original intent in seconds instead of tracing through all the code.
Golden rule: I treat every suggestion like a junior's draft. I review it, run the tests, and never ship code I don't understand.
I keep the files related to my task open: Copilot uses them as context, and its suggestions match our conventions and variable names far more closely.
Request your seat, or suggest another AI tool for the team to evaluate.