Same for typescript, by default you still got `any`, best case (for humans and LLM) is a strict linter that will give you feedback on what is wrong. But then (and I saw this a couple times with non-experienced devs), you or the AI has to know it. Write a strict linter config, use it, and as someone with not that much coding knowledge, you may be unfamiliar and thus not asking.
Flotte, a ssh access management solution for hobbyist and small to medium-sized businesses.
We aim to provide a fast JIT ssh cert attestation.
With focus on:
* making on/offboard users fast
* efficient workflows (no need to lookup passwords for logins or sudo)
* mitigate private key leaks (especially in BYOD/BYOK environments)
* Help admins manage server access fast
Im always so surprised that embedding models we had for years like minlm (80mb) are so small, and I really wonder why not more on device searches use something like it.
I don't find this too concerning but libraries should document this and maybe even raise exceptions on data longer than 72 bytes, failing silently is the worst behaviour.
Since I see you're using Vue, I created an MIT licensed dithering web app with Vue. I've never tried to embed it in anything, but you're welcome to give it a shot.
https://youtu.be/3ge-AywiFxs?si=TbcRsBNkzGhpOxQ4&t=842
(timestamped=) He shows a derivation that at best, a sorting algorithm can do is O(n log(n)) for n real positive numbers.
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