Anyone have experiences using GPT-4 with functional languages? There's lots of examples with procedural languages that automates much of the boilerplate but I'm wondering how effective it is when the source is more terse and concept-dense.
I don't do a lot of functional programming myself but would prefer to. I'm guessing that the output might be be one arbitrarily selected from the described domain but could just as well have been composed completely differently. If it's able to output multiple distinct compositions and we can choose one that suits the team's way of thinking/working that would be pretty cool.
What would be awesome is if it could find the shared characteristics across domains and synthesize a solution in the posed domain that was only ever used in other ones.
I don't do a lot of functional programming myself but would prefer to. I'm guessing that the output might be be one arbitrarily selected from the described domain but could just as well have been composed completely differently. If it's able to output multiple distinct compositions and we can choose one that suits the team's way of thinking/working that would be pretty cool.
What would be awesome is if it could find the shared characteristics across domains and synthesize a solution in the posed domain that was only ever used in other ones.