I'm curious whether you have any insights into why high quality LLM-assisted (or enabled?) projects seem so relatively rare? Instead it seems like the preponderant contribution is a deluge of low quality slop.
You didn't share yours and Adam's prompts in the post, so I'm left wondering how much of the success of this project is attributable to your collective ability and experience (both with this particular project and software in general) vs the capability of the model and harness itself? On that note, do you anticipate releasing LLMs at Oxide[1] (linked from RFD 0576)?
Personally I find credible success stories like yours interesting, if a little jarring. If they were commonplace, shouldn't software be generally getting a lot better?
[1] https://github.com/oxidecomputer/meta/tree/master/engineerin...
for the same reason that there is so much bad writing online? you'd think that making it much easier to make large projects would mean a great many more people would make large projects - this will inevitably reduce quality.
The number of people with the time and dilligence, the people who previously would have been making them previously, is much fewer. They hide themselves away to find likeminded people anyway, but now its even harder to find them amongst all the deafening slop.
There exist a great many people in the world who think that the only important thing is having a good enough idea, and everything else is almost valueless by comparison. You've probably met them, people who say things like "I just need someone to code it, can you sign this NDA, what do you mean you want to be paid, it's just coding?"
They exist in other formats too - blogs in the vein of "for exposure" cover the same premise, mostly.
Vibe coding has allowed them all to try and show everyone how right they were.