You know, we're moving awfully fast in this intense AI world. Models are getting exponentially better. Nobody wants to get left behind. But I can't keep up this month. Remember how last time, previously, on Lobsters, I had to write two compilers in two months? Well, I'm already writing one compiler in one month for a conference, and because it's time-sensitive I would rather not do any apples-to-apples comparisons with vibecoded attempts. So instead you get more side projects.
type ty = TVar of tvar | TCon of string | TArr of ty * ty | TTuple of ty list
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Verification, testing, and specification have always been the bottleneck, not implementation. Good engineers know what they want to build. They just cannot afford to prove it correct. If that cost drops to near zero, every domain where correctness matters accelerates. Aerospace, automotive, and medical device certification currently takes years of qualification effort. Cloud providers invest similar effort qualifying security-critical services and cryptographic implementations. Verified code generation could collapse that timeline to weeks. Hardware verification, where a single bug can cost hundreds of millions of dollars, benefits equally.
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