alt Hacker NewsCombine that most CS students learn many languages with LLMs and coding agents and the size of the ecosystem isn't quite as important as it used to be. New hires can be productive from day 1. Missing libraries are relatively easy to add. Moreover the language characteristics can be more useful than ever: fast running, fast compiling, typed, easy to read, etc.
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Yeah I think LLMs really help with the chicken-egg situation in language adoption. Contrary to many opinions that predict programming homogenizing around the big 3 languages that exist today (because that's what the LLMs currently write) I think in the future more nice languages will gain adoption as they are written by LLMs, who as you note don't care about a lack of community surrounding those langs -- if they need a missing library the AI can just write it. Maybe they even add it to the language ecosystem for other AI or humans.
I think Python is actually kind of the worst language of the top langs to be the lingua franca of AI, where more niche statically typed languages like Nim are better suited.
> New hires can be productive from day 1.
...or counterproductive, lmao
Coding agents strengthen the value of low code platforms, and reduce even further the role of specific programming languages.
Examples, workato, boomi, opal,....
Many automations that used to be written in programming languages, deployed via serverless or containers, are now agents driven by prompts.