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yohguy

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It looks really promising but I would love more examples as to how to actually use this with AI agents. Reading the homepage it is not clear if we are meant to have the Agent spun up and act fully in the sandbox (something like the HTTP example) or do we take the result code message from an AI agent and then run it dynamically (with eval?).

That being said this is useful even if it wasn't for the running AI agent code aspect, being able to limit ram and cpu usage and time outs makes it easier to run coding based games/applications safely (like battle snakes and Leetcode)

I don't like reading AI text because I feel each word matters a lot less, however the message the author is conveying can be preserved. I read an article like this for the quality of the message not the craftsmen of the medium.

There will always be a human in the loop, at what level is the question. It was a very short while ago, in the last couple of months in my case where it went from having to to go at a function level to what the posts describe (still not to the level the Death of SWE article is). It is hard for me to imagine that LLMs can go 1 level higher anytime soon. Progress is not guaranteed. Regardless on whether it improves or not I think it is best to assume that it won't and build using that assumption. The shortcomings of the current (NEW) system and their failings are what end up creating the new patterns for work and the industry. I think that is the more interesting conversation, not how quickly can we ship code but what that means for organizations what skills become the most valuable and what actually rises to the top.