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mixed The thread largely accepts that Haskell’s cold compile times and ecosystem friction can hurt AI-agent workflows, but many commenters are skeptical that moving to Python is the right response. A recurring counterargument is that strong type systems should become more valuable, not less, when LLMs generate code, and seve — latest discussion,
often appears withPythonHaskelllarge language models
  1. Scarf says AI workflows made Haskell too slow to keep as its main backend language▲ 221 · 276 comments0:00 / 0:27 · 6:22