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    I think this is a really interesting comparison to Github’s Copilot. Where Copilot is a sort of probabilistic copilot built on a deep learning model, Wingman uses an advanced tactics engine with knowledge of the language’s type system to perform program synthesis to aid the developer.

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      Yeah, I’d have much more confidence in something like Wingman than in Copilot. And the fact that it runs offline is very important too.

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        More fun synthesis stuff: Synquid, based on refinement types, which are more expressive than just vanilla Haskell ones.

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        Sandy Maguire’s Wingman is an amazing tool that saves me time everyday at work.

        Wingman helps when I’m working in an unfamiliar section of our codebase. I can work my way from the edges of what I know I need, slicing off pieces I know how to implement and improving my understanding as I get closer to filling in that last puzzle piece.

        For more familiar parts of the codebase I can often drop in a hole, ask for it to be filled, and get most of what I need right away.

        I wrote a step by step demo for an older version of Wingman. That demo shows you how to re-implement applyMaybe from a type signature and choosing the right Wingman actions. While I showed the steps to demonstrate Wingman usage, an easier approach is to uncomment the first step and choose “attempt to fill hole” and you will get the right thing!

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          Is that you, Idris?