Programming languages differ massively in the range of numeric types they offer.
For example, Rust has an extensive selection, targeting machine word sizes and FP hardware (isize, i32, f64) plus unsigned variants.
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Implementation chicken:
When there's an obvious feature gap in an ecosystem and everyone is waiting for someone else to write it.
I see this most frequently with OSS toolchains. Basic functionality in new programming languages is another common scenario.
I'm surprised there aren't more interpreted languages with a first party type checker.
Python has several good type checkers, Ruby has Sorbet, and there are others.
Having zero compilation time *and* a full IDE seems like such a compelling design, at least on paper.
Some novel (to me) AI workflows from OpenAI in https://openai.com/index/open-source-codex-orchestration-symphony/
(1) Adding the ability for the LLM to create follow-up tasks in the issue tracker.
(2) Identifying weaknesses in the spec by implementing in several different languages.