421–430 of 448 posts
The thing is I'm not really sure your going to be able to distinguish how something was built unless the developer volunteers that information.
The article measures the wrong thing. PyPI package creation is a terrible proxy for AI-assisted software output because packages are published for reuse by others, which requires documentation, API design, and maintenance commitments that AI doesn't help with much. The real output is happening in private repos, internal tools, and single-purpose apps that never get published anywhere. I've been building a writing app…
Serious question: Did you use AI to write this or do you just sound like an LLM after having used them so much?
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Poe’s law is strong with this one
Tell me more! I'm trying to figure out how you got that.
Have you built anything purely with LLM which is novel and is used by people who expect that their data is managed securely, and the application is well maintained so they can trust it?
I have been writing specifications, rfcs, adrs, conducting architecture reviews, code reviews and what not for quite a bit of time now. Also I’ve driven cross organisational product initiatives etc. I’m experimenting with openspec with my team now on a brownfield project and have some good results.
Having said all that I seriously doubt that if you treat the english language spec and your pm oversight as the sole QA pillars of a stochastic model transformer you are making a mistake.
Maybe 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 ch…
Yeah, PyPI packages are a strange measurement. These tend to be utilities, and a lot of AI coding either reduces the need for utilities, or uses them but doesn't publish to a package index.
I think it's probably one of the better ways to measure productivity, actually. Software packages are unencumbered by non coding related bottlenecks.
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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 questio…
> I'm not surprised throwaway mobile apps do benefit, while relatively mature python packages do not. Right. I don't think you even need cynicism or whatever you felt you were having impolite thoughts about: I'd expect the top mature libraries to be the most resistant to AI tool use for various reasons. They already have established processes, they don't accept drive-by PR spam, the developers working on them might b…
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Even if you have the app, you get to start the fun adventure of marketing it and actually trying to grow the damn thing
Right. Which is something you neither need nor want if you just wanted to have an app.
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> This is flat-earther level Ok, so do you have a counterexample?
Yes and no [0]. There's no chance I'm the only one. And no, it's not a chatbot or automation tool or anything else that's "selling shovels", it's an end product. I've had multiple people reach out to me organically with how much it has helped them, reviews are very good and so on. But really, you don't even need this counterexample because it's trivial. It's like a C fanatic saying "No useful software can be made usi…
> It's like a C fanatic saying "No useful software can be made using Python", and then asking for a counterexample
At which point you could provide them many, many counterexamples?
I like AI coding assistants as much as the next red-blooded SWE and find them incredibly useful and a genuine productivity booster, but I think the claims of 10/100/1000x productivity boosts are unsupported by evidence AFAICT. And I certainly know I'm not 10x as productive nor do any of my teammates who have embraced AI seem to be 10x more productive.
It is incredibly easy now to get an idea to the prototype stage, but making it production-ready still needs boring old software engineering skills. I know countless people who followed the "I'll vibe code my own business" trend, and a few of them did get pretty far, but ultimately not a single one actually launched. Anyone who has been doing this professionally will tell you that the "last step" is what takes the maj…
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> But based on the hype (100x productivity!), there should be a deluge of high quality mobile apps, Saas offerings, etc. There is a huge profit incentive to create quality software at a low price. 1. People aren't creating new apps, but enhancing existing ones 2. Companies are less likely to pay for new offerings when the barrier to entry is lowered due to AI. They'll just vibe code what they need.
I don't think the 2nd point will make a huge impact on software sales. Who is vibe coding? Software developers or business types? They aren't going to vibe code a CRM, or their own bespoke version of Excel, or their own Datadog APM. Maybe they will vibe code small scripts, but nobody was really paying for software to do that in the first place. Saas-pocalypse is just people vibe investing, not really understanding th…