ML Developer Experience

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I came across a great reverse engineering of the GitHub Copilot product the other day. The takeaway: the developer experience part of Copilot is just as impressive as the machine learning part.

What are some model agnostic lessons?

Simple and familiar interfaces: Copilot works as an extension in VSCode, the editor of choice for most developers. It's simple to download and easy to authenticate to GitHub. Developers already had autocomplete and were used to having code suggestions as they typed.

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