In this particular case AI has nothing to do with Fabrice Bellard.
We can have something different on HN like what Fabrice Bellard is up to.
You can continue AI posting as normal in the coming days.
... and that it provides a useful sandbox in that you can robustly limit both the memory and time allowed, including limiting expensive regular expression evaluation?
I included the AI bit because it would have been dishonest not to disclose how I used AI to figure this all out.
Compiling this to wasm and calling it from python as a sandboxed runtime isn’t tangential. I wouldn’t have know from reading the project’s readme that this was possible, and it’s a really interesting use case. We might as well get mad at simonw for using an IDE while he explored the limits of a new library.
Maybe we HN users have minds in sync :)
https://news.ycombinator.com/item?id=46359396#46359695
Have a nice day! Awesome stuff, would keep an eye on your blog, Does your blog/website use mataroa by any chance as there are some similarities even if they are both minimalist but overall nice!
I'm currently on a multi-year side-quest to find safe ways to execute untrusted user-provided code in my Python and web applications.
As such, I pay very close attention to any new language or library that looks like it might be able to provide a robust sandbox.
MicroQuickJS instantly struck me as a strong candidate for that, and initial protoyping has backed that up.
None of that was clear from my original comment.
I read this post of yours https://simonwillison.net/2025/Dec/18/code-proven-to-work/ and although there is a point that can be made that what you are doing isn't a job and I myself create prototypes of code using AI, long term (in my opinion) what really matters are the maintainance and claim (like your article says in a way, that I can pin point a person whose responsible for code to work)
If I find any bug right now, I wouldn't blame it on you but AI and I have varying amount of trust on it
My opinion on the matter is that for prototyping AI can be considered good use but long term it definitely isn't and I am sure that you share a similar viewpoint.
I think that AI is so contrasting that there stops existing any nuance. Read my recent comment (although warning, its long) (https://news.ycombinator.com/item?id=46359684)
Perhaps you can build a blog post about the nuance of AI? I imagine that a lot of people might share a similar aspect of AI policy where its okay to tinker with it. I am part of the new generation and trust be told I don't think that there becomes much incentives long term unless someone realizes things of not using AI because using AI just feels so lucrative for especially the youngsters.
I am 17 years old and I am going to go into a decent college with (might I add immense competition to begin with) when I have passion about such topics but only to get dissuaded because the benchmark of solving assignments etc. are done by AI and the signal ratio of universities themselves are reducing but they haven't reduced to the point that they are irrelevant but rather that you need to have a university to try to get a job but companies have either freezed hiring which some point out with LLM's
If you ask me, Long term to me it feels like more people might associate themselves with hobbyist computing and even using AI (to be honest sort of like pewdiepie) without being in the industry.
I am not sure what the future holds for me (or for any of us as a matter of fact) but I guess the point I am trying to state is that there is nuance to the discussion from both sides
Have a nice day!
