[munificent]

With AI tooling, we are in the era where rapid iteration on product matters more than optimal runtime performance. Given that, implementing your AI tooling in a language that maximizes engineer productivity makes sense, and I believe GC does that.

[logsr]

JS/TS has a fundamental advantage, because there is more open source JS/TS than any other language, so LLMs training on JS/TS have more to work with. Combine that with having the largest developer community, which means you have more people using LLMs to write JS/TS than any other language, and people use it more because it works better, then the advantage compounds as you retrain on usage data.

[timeon]

One would expect that "AI tooling" is there for rapid iteration and one can use it with performant languages. We already had "rapid iteration" with GC languages.

[munificent]

If "AI tooling" makes developers more productive regardless of language, then it's still more productive to use a more productive language. If JS is more productive than C++, then "N% more productive JS" is still more productive than "N% more productive C++", for all positive N.