upvote
Tell me, are there any substantive comments on the text, on what has been done, and on the technical implementation, and not on the form?
reply
Why would I ask you about this work? The root of my question is why is this type of output shared on github, rather than the inputs?
reply
Rough
reply
Disclaimer: This is a user’s perspective rather than a programmer’s perspective.

valid point. I am usually okay with LLM generated code since even if it might not be architecturally sound It is usually well commented and has tests and documentation for helping another agent/human debug any issues.

But, just the painful experience of debugging any dlopen related crashes and/or intermittent bugs; and the sheer amount of tokens burnt by an LLM chasing tangents when shown a stack trace; I wouldn’t touch this at least as a packager/consumer of certain apps for personal usage on older distros. So far, AnyLinux-Appimages seem to be a mature solution with great support from the developers, in case anyone lands here for packaging applications to run on older distros.

reply
Modern models, when properly managed with a human in the loop, write higher-quality code than humans and introduce significantly fewer bugs. Therefore, it's quite the opposite - you should expect fewer "dlopen-related crashes and/or intermittent bugs."
reply
> Modern models, when properly managed with a human in the loop, write higher-quality code than humans and introduce significantly fewer bugs.

I don't think anybody believes this, and interjecting it into every thread is not really convincing anyone.

reply
where is the study confirming this?
reply
> So far, AnyLinux-Appimages seem to be a mature solution with great support from the developers, in case anyone lands here for packaging applications to run on older distros.

The Linux ecosystem already settled on containers to solve the problem. Namely Docker, Flatpak, Podman ec.

reply
reply
Parents point is the readme was written by Claude. Signals low effort.
reply
README.md was written by me, and I, of course, used claude/codex for it. In general, I do everything through claude/codex, the reasons are described in https://github.com/pg83/solo/blob/main/CONTRIBUTING.md . And no, it's not low effort, and no, I don't see the point in wasting time de-claude-ifying the text just to avoid it looking like I didn't spend enough time on it.
reply
You make it clear why you write all your code through a llm. But a README is not code. Presumably you would like people to read it. A machine authored readme reflects poorly on a project.
reply
In any case, it's open source. If you don't like something, even if the project seems generally useful, go ahead and fix it. The PR came in. I'm an engineer and I can write good code, but that doesn't mean I can write good README.mds!
reply
The author of the README is me, the machine just wrote it. I am not a native speaker of English, my written English is simply terrible, no one wants to read the text that I wrote exactly :))
reply
For context, I read Claude output every single day, I know what it is reliable with and what it is not. Or at least I have a feel for how much I can trust it.

It may not be clear to a non-english first language person, but when I read Claudes documentation, my brain immediately picks up claude-speak. Therefore, I expect the code to be generally correct, maybe, depending on how specific I was during my prompting. In no way shape or form do I really trust it, at least until i dig into the code and validate my mental model. And query the review for edge cases etc...

By writing your documentation with Claude, my brain immediately associates the quality of the project with the quality of unreviewed Claude output.

To a degree this is unfair, as it is like judging the quality of someone's work based on their accent.

But Claudes accent, has a high correlation with Claude, so unlike with people, where an accent has no bearing on technical ability, Claude being Claude does.

I would much rather read a typo ridden sentence than claudism, even just as a forward, explaining what you did vs the ai, and telling the users how much we should trust it.

Also, If you really insist on using AI to write, have another model rewrite docs/comments into regular English (opus 4.6 for example is much better than 4.7, 4.8, or 5.

It is open source so you can do whatever you like, but people (especially native English speakers) will discount your work, because Claude, especially opus 5 writes very very badly.

The people who say they would rather see a typo infested mess of a readme are serious. Or even just write in your native language and then have Claude translate.

Both of those are better indications of proof of effort than a Claude readme.

reply
> Or even just write in your native language and then have Claude translate.

That's exactly what I did.

reply
> By writing your documentation with Claude, my brain immediately associates the quality of the project with the quality of unreviewed Claude output.

I'm sorry, but I agree with the author: if a certain writing style makes you associate the work with low-quality, then that's your problem. The author shouldn't have to rewrite the readme just to avoid triggering your automatic unfounded associations. If you look at the substance of the work, including the test cases, then this is clearly not easy work that can be vibe coded in a single pass.

It's just like emdash. Everybody digs on how it's a signifier of LLM text, but I've used emdash for years because it's gramatically correct. I shouldn't have to stop using emdash just to avoid kneejerk reactions.

reply
LLMs often use emdashes in a distinct incorrect way. It's not just the existence of any emdash, although considering you were in a very small minority of older users, it now warrants increased scrutiny, unfortunately for you.
reply
if 99 poor effort/quality projects have a readme that reads in a particular style, then you expect the 100th project with a readme in the same style to also be of poor effort/quality

statistically, it only makes sense for your expectations to immediately be low when you encounter this writing style because there are just so much slop out there

the author is free to keep that writing style but they should be aware that this will—at least on the surface level—make their project look exactly like the metric ton of slop we see posted everyday everywhere

reply
I think we're trying to tell you that we actually would prefer it.
reply
deleted
reply
I believe usually when someone complains about text written by a language model they are hoping to read human-written text instead of human-laundered LLM output.
reply
Implicit assumption of gp is that the README is llm authored. (Which, I agree is how it reads to me.)
reply