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A big AI objection around coding has been "If it increases productivity so much, where's all the new software!?" While I'm not sure it's filtered down into consumer-facing stuff quite yet, I feel just inundated with new, ambitious software on a daily basis these days

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We're seeing more ambitious projects from smaller teams, which is encouraging. I wonder how many of these applications are still being actively maintained six months later. Building the first version is faster now, but keeping users and maintaining the software takes a lot of work.

Well my examples here dactyl and celld are probably dead because Deno got acquired But celld’s approach is also going to be built into workerd, so… kinda success? Unclear, need more data

Ambitious software does not necessarily mean the business itself will survive. However ambitious things that are backed by a successful business are more likely to stay maintained Thinking of vinext, kitesurf, emdash, tsrs, all of which have dedicated engineers attached to them

Yes, so many people (and not-people) were posting "look at this project I vibe-coded!" to r/LocalLLaMA that we added a clause to Rule Three making LLM-generated projects a violation. For a while we were taking down about fifty per day. Nutty.

I think there's still a ton of vibe-coded small apps being produced, but to clarify, it's only in the past couple of months that I've started to see that move beyond hobby after-hours things

When I say "not-people", I mean a lot of them were OpenClaw agents which had vibe-coded a project, submitted them to Github, and posted them to r/LocalLLaMA *often without their human owner even knowing about any it.*

I think it’s a bit pretty fair question given the amount of money and hype. Years have passed, and few visible, tangible, public examples exist—especially ones that aren’t somewhat poor.

Sorry, I'm not saying it's not a fair question here. I've been curious about this myself. I could see a lot of people re-building their own vibe-coded agent harness but not much else I'm saying that, for me, this has started to materially change a lot in the past month or two

Tried to clarify a bit bsky.app/profile/jere...

Jeremy Morrell@jeremymorrell.dev

To clarify, I'm not saying the question isn't very justified, especially in contrast to the waves up "This changes everything!" hype I'm saying that in the past couple of months the underlying shift is coming int focus, at least from my position in the software ecosystem

Developers are definitely benefitting from the lift of prompt based automation. Product builders are too. I’m sure of that. But most of the hype has been laughable at times — most AI fan bois don’t seem capable of being discerning when it comes to quality

I vacillate back and forth between being more annoyed by AI boosters or AI critics depending on the day 😅 Current annoyance at boosters is the "Just let the agents handle oncall" marketing push 😬

I wouldn't be surprised if all monetary investment into AI at this point, calculating the actual generated value, even if it's not monetary, would be on return. Like, even if the actual numbers don't add up, there's already value created via LLMs worth as much as creating&maintaining them was.

For me, it has allowed me to do the kind of refactoring that I wouldn't have otherwise had the time to do properly and safely, so on the surface, the change isn't visible, but under the hood, it's a lot more solid. Kind of the opposite of the throwaway code ppl were churning out vibe-ly