alt Hacker NewsMaybe the top 15,000 PyPi packages isn't the best way to measure this?
Apparently new iOS app submissions jumped by 24% last year:
> According to Appfigures Explorer, Apple's App Store saw 557K new app submissions in 2025, a whopping 24% increase from 2024, and the first meaningful increase since 2016's all-time high of 1M apps.
The chart shows stagnant new iOS app submissions until AI.
Here's a month by month bar chart from 2019 to Feb 2026: https://www.statista.com/statistics/1020964/apple-app-store-...
Also, if you hang out in places with borderline technical people, they might do things like vibe-code a waybar app and proudly post it to r/omarchy which was the first time they ever installed linux in their life.
Though I'd be super surprised if average activity didn't pick up big on Github in general. And if it hasn't, it's only because we overestimate how fast people develop new workflows. Just by going by my own increase in software output and the projects I've taken on over the last couple months.
Finally, December 2025 (Opus 4.5 and that new Codex one) was a big inflection point where AI was suddenly good enough to do all sorts of things for me without hand-holding.
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i was curious, but I need a statista account to see it
> Apparently new iOS app submissions jumped by 24% last year:
The amount of useless slop in the app store doesn't matter. There are no new and useful apps made with AI - apps that contribute to productivity of the economy as whole. The trade and fiscal deficits are both high and growing as is corporate indebtedness - these are the true measures for economic failure and they all agree on it.
AI is a debt and energy guzzling endeavor which sucks the capital juice out of the economy in return for meager benefits.
I can't think of a reason for the present unjustified AI rush and hype other than war, but any success towards that goal is a total loss for the economy and environment - that's the relation between economics and deadly destruction in a connected world, reality is the proof.
I can't really think of a polite way to phrase this, but I'm not surprised throwaway mobile apps do benefit, while relatively mature python packages do not. That matches my estimation of how much programming skill you can reasonable extract from the current LLMs.
Really the one thing that conclusively has changed is that the 'ask it on stackoverflow' has become 'ask it an LLM'. Around 95% of the stackoverflow questions can be answered by an LLM with access to the documentation, not sure what will happen to the other 5%. I don't think stackoverflow will survive a 20-fold reduction in size, if only because their stance on not allowing repeat questions means that exponential growth was the main thing preventing them from becoming stale.