Would it be possible to quantify perceived coolness of different programming languages?
My only idea so far is look at how many HN stories mention each language, relative to their usage levels (according to the SO survey).
miniblog.
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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.