LLM rant aside, I think this comment is built on a fundamental misunderstanding of what this is. This kind of runtime is an advanced debugging tool for exploring extreme edge cases in a repeatable way, not the thing you’d run your production apps on.
I mean, if I'm in a situation in which I need more powerful debugging tools than what I already have available, then I kind of want to know those tools have been built with care. If I'm deep in the weeds of trying to deliver and I'm desperately reaching for something outside of the standard tool set, I'd like the person who made that tool to have crafted it in a dwarven forge under a pale moonlight. Not to have thrown to their hands and admit a tool with the intelligence of a smart working dog breed is smarter than them.
I mean, there is a reason the MIT licence contains these words:<p>> THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND… INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF… FITNESS FOR A PARTICULAR PURPOSE…<p>If you would <i>like</i> a tool built with my organic artisanal human fingers, then I am certainly open to sufficiently large offers of money to build one for you! Alternatively, you can simply not use it if you think it won't fit your needs :)
Others have already mentioned this <i>is</i> basically a side tool, but I also think decent developers have a tendency to admit to slopping out when they're leaning on LLMs to an extent actual vibecoders would consider quaint.<p>At first read, the blog post seems at least somewhat cognizant of the shortcomings and state of the project, which is unfortunately now a high bar for new open source releases. If I needed something like this then I would not complain about what's being offered here for free.
Apparently the gRPC improvements to use shared memory when client and server are on the same, something common on network RPC not yet supported by gRPC, was done by Mark Russinovich, with agents.<p><a href="https://github.com/markrussinovich/shmem" rel="nofollow">https://github.com/markrussinovich/shmem</a><p>It is one example described on one of his AI talks at BUILD.<p>If the PR gets accepted, here is your AI contribution to core technology.
I mean maybe I’m missing the point but it seems like it’s intended to be more of a tool for debugging race conditions, than a runtime you actually ship with. For that purpose I think using an LLM is fine.