I'm stuck in my ways with vim/tmux/ghci etc, so I'm not using some AI IDE. I write stuff into ChatGPT and use the output, copying manually, or writing it myself with inspiration from what I get. I feed it a fair bit of context (like, say, a production module with a load of database queries, and the associated spec module) so that it copies the structure and patterns that I've established.

The quality of the Haskell code is about as good as I would have written myself, though I think it falls for primitive obsession more than I would. Still, I can add those abstractions myself after the fact.

Maybe one of the reasons I'm getting good results is because the LLM effectively has to argue with GHC, and GHC always wins here.

I've found that it's a superpower also for finding logic bugs that I've missed, and for writing SQL queries (which I was never that good at).