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425 points sfarshid | 2 comments | | HN request time: 0.002s | source
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NitpickLawyer ◴[] No.45005604[source]
> After finishing the port, most of the agents settled for writing extra tests or continuously updating agent/TODO.md to clarify how "done" they were. In one instance, the agent actually used pkill to terminate itself after realizing it was stuck in an infinite loop.

Ok, now that is funny! On so many levels.

Now, for the project itself, a few thoughts:

- this was tried before, about 1.5 years ago there was a project setup to spam github with lots of "paper implementations", but it was based on gpt3.5 or 4 or something, and almost nothing worked. Their results are much better.

- surprised it worked as well as it did with simple prompts. "Probably we're overcomplicating stuff". Yeah, probably.

- weird copyright / IP questions all around. This will be a minefield.

- Lots of SaaS products are screwed. Not from this, but from this + 10 engineers in every midsized company. NIH is now justified.

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CuriouslyC ◴[] No.45006084[source]
I started building a project by trying to wire in existing open source stuff. When I looked at the build and stuff that would cause me to bring in, and the actual stuff I needed from the open source tools, it turned out to be MUCH faster/cleaner to just get Claude to check out the repo and port the stuff I needed directly.

Now I do a calculus with dependencies. Do I want to track the upstream, is the rigging around the core I want valuable, is it well maintained? If not, just port and move on.

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1. ghuntley ◴[] No.45010032[source]
> If not, just port and move on.

Exactly the point behind this post https://ghuntley.com/libraries/

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2. huksley ◴[] No.45019678[source]
Generated by AI libraries will by definition have all the security bugs you might encounter in the open, since it trains on them.

I would say, it is better maintain your own AI improved forks of the libraries and I am hoping that pattern will be more common and will also benefit upstream libraries as well.