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Bang and StrictData are fine locally but things get enormously worse when that data flows into deeply-layered libraries that I don't own.

Then, I need to understand and modify the evaluation behavior of a deeply-layered external software stack, including its crazy type-level magic, all before a looming deadline.

Seriously, how is this good for my sanity or career?

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What’s your product if you don't mind sharing? Curious.

The machinery is large-scale ML and discrete optimization over large/complex data structures, designed for a specific vertical industry. These algorithms run for hours and lazy eval was an engineering disaster. Our team had experienced Haskell developers who fought complicated space leaks night and day.

0/10 would not recommend.

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