> participants will contribute engineering resources
If it works out as planned, we will see. Apart from this, I am not overwhelmed by the claim of this project. It favors centralization and corporate circles, exactly the opposite of what the hacker ethics promotes for good reasons.
> Btw this was initially coded without AI, but I've used it for the recent clean up and features
Then it makes sense to update the submission title. To me it reads as if the project was written completely without the help of AI (which might be a quality badge to some), but it is not 100% true then.
The path is not closed; it must be earned through trust. It has always been this way. Also, note that "pull requests" are a GitHub invention; the concept is not native to Git or most other SCM systems. Before, you would have to submit your patch by email. It would be reviewed by the "maintainer" (or BDFL), who would then accept or reject it. If your contributions are accepted several times, you may be able to earn the rank of "maintainer."
Returning to the topic at hand, the challenge for new developers is to earn trust. I bet there are ways to do so aside from the muddy swamp of GitHub's (AI) bazaar.
There are great Open Source projects doing fine with the cathedral style, just look at Sqlite and its siblings (Fossil, …).
So I do not see a problem with Ladybirds decision, in contrary, IMHO it strengthens the human aspect of software development and puts the brakes on AI free riders
Not by me, but by the mods. They also changed from "full of hallucinations" to "and most citations were hallucinated". Maybe a rep from "EY Global" filed a complain ;)
Well, I think the attitude is that costs are allowed to escalate faster and more steeply than the features delivered. From that perspective, semantic versioning is a handy tool for adjusting pricing strategies. IMHO, it (versioning) only makes sense for open-source projects, where you can clearly see the actual changes made with each version upgrade. Anything else is more than a little suspicious…
Can't comment on Mercurial, but "for all my personal project where I don't need to care what anyone else thinks" I am using Fossil. Ever since that decision, I've felt a bit, well, held back, or rather, I don't feel quite as comfortable as I do at home when I have to use Git.
A culture rooted in φιλοσοφία (greek, philosophia in Latin). So yes, I meant that literally. There were times, already 2500 years ago, where people wanted to study to become wiser.
Advertising prominently with "AI native" seems necessary today, at least for some folks. To me, that's kind of off-putting, since it doesn't really say anything.
Can anyone of the AI enthusiasts here explain, why, or, what is meant by
> As a compiled, statically-typed language, it's also ideal for agentic programming.
Many comments here to your creation, PeakSlab, but not yet a dedicated praise. I didn't know it but I have to say it is really cool and innovative! The performance of the dictionary is indeed superb and I will definitely bookmark this for future reuse. So, in a nutshell: thanks for sharing!
> I'm sure it was very difficult to program in machine code, but if now (or soon) anyone can just write software using a LLM without any sort of learning it changes everything. LLMs can plan and create something usable from simple instructions or ideas, and they will only get better.
Did you read the section "Power to the People?" ? In it, the author dismantles your thesis with powerful, highly plausible arguments.
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