Software quality has been on a step downwards curve as far as quality and capabilities are concerned, for years before LLM coding had its breakthrough. For all the promises I'd have expected to, three years later, at least notice the downward trajectory easing off. But it hasn't been happening.
I wouldn't worry about this.
There are many examples of people sharing a project they've used LLMs to help write, and the result was not a huge amount of attention & expectation of burden.
Perhaps "I don't share it because I'm worried people will love it too much" even suggests the opposite: you can concretely demonstrate the kinds of things you've been able to build using LLMs.
> This is such a tired response at this point.
Lack of specificity & concrete examples frequently mean all that's left for discussion is emotion for hype and anti-hype, though.
In this thread, the discussion was:
pro: use LLMs or get left behind
conserve: okay, I'll start using LLMs when they're good
pro: no no they won't be that good, it takes effort to get to use them
conserve: do you have any examples?
pro: why should we have to share examples?
> I could if I wanted to, but I just don't feel like it.
What am I missing where I can understand that's not what you meant?
People are under zero obligation to release their work to the public. Simon actually publishes and writes about a remarkable amount of the side projects he builds with AI.
The rest of us just build tons of cool stuff for personal use or for $JOB. Releasing stuff to the public is, in general, a massive amount of extra work for very little benefit. There are loads of FOSS maintainers trapped spending as much time managing their communities as they do their actual projects and many of us just don't have time for that.