Regular default ChatGPT can also now run code in Node.js, Ruby, Perl, PHP, Go, Java, Swift, Kotlin, C and C++.

I'm not sure when these new features landed because they're not listed anywhere in the official ChatGPT release notes, but I checked it with a free account and it's available there as well.

I wonder how long npm/pip etc even makes sense.

Dependancies introduce unnecessary LOC and features which are, more and more, just written by LLMs themselves. It is easier to just write the necessary functionality directly. Whether that is more maintainable or not is a bit YMMV at this stage, but I would wager it is improving.

Maybe soon we have single use applications. Where ChatGPT can write an App for you on-the-fly in a cloud sandbox you interact with it in the browser and fulfill your goal and afterwards the App is shutdown and thrown away.

I wonder if the era of dynamic programming languages is over. Python/JS/Ruby/etc. were good tradeoffs when developer time mattered. But now that most code is written by LLMs, it's as "hard" for the LLM to write Python as it is to write Rust/Go (assuming enough training data on the language ofc; LLMs still can't write Gleam/Janet/CommonLisp/etc.).

Esp. with Go's quick compile time, I can see myself using it more and more even in my one-off scripts that would have used Python/Bash otherwise. Plus, I get a binary that I can port to other systems w/o problem.

Compiled is back?

Seems like everyone is trying to get ahead of tool calling moving people "off platform" and creating differentiators around what tools are available "locally" to the models etc. This also takes the wind out of the sandboxing folks, as it probably won't be long before the "local" tool calling can effectively do anything you'd need to do on your local machine.

I wonder when they'll start offering virtual, persistent dev environments...