Many developers have rapidly incorporated large language models in everyday programming. But what if we completely left the work to a digital intern? "Look at that and how it works, now build me this similar feature!" Wouldn't that be great?
Unfortunately, most of us can't afford to hire an intern. And the quality of their work might not yet be at the level you want to achieve. Or... is it?

In this talk, I will introduce you to my virtual intern, GitHub Copilot Workspace. I'll have it implement some features from scratch, showing you the complete workflow from specification through brainstorming to implementation. If all goes well, the outcome should be a pull request with a working feature that is ready to be merged into the code base.

But you never know how that plan will sort out...

No animals or interns will be hurt in this session. It'll be me and GitHub Copilot Workspace (GHCW). I'll demonstrate what GHCW is capable of, where it falls short and how you can use it to further improve everyday programming.