231–240 of 448 posts
Are there any agentic sales and marketing offerings?
Because being able to reliably hand off that part of the value chain to an agent would close a real gap. (Not sure this can be done in reality)
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all they did is annoy their friends and family by sharing their vibeslop app and asking for "feedback". I really dont know how to respond to these requests. I am going to hide out and not talk to anyone till this fad passes. Reminds of the trend where everyone was dj wanting you to listen their mixtrack they made on abbleton live
Is it really that big of a deal to help/encourage a friend/family in these simple ways?? Do you have no time in life to smell the flowers?
Or to be a little less pessimistic, it's like asking them to stop and smell the flowers, except the flowers are fake and plastic and it makes your friends question your sanity. Either way, it's not a normal or enjoyable flower smelling experience, and doesn't add any enjoyment or simple pleasure to one's life like normal flower smelling would.
You don't need as many libraries when functionality can be vibe-coded.
You don't need help from the open source community when you have an AI agent.
The apps are probably mostly websites and native apps, not necessarily published to PyPI.
"Show HN" has banned vibe-coded apps because there's been so many.
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…
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 deleted vscode and replaced with a hyper personal dashboard that combines information from everywhere. I have a news feed, work tab for managing issues/PRs, markdown editor with folders, calendar, AI powered buttons all over the place (I click a button, it does something interesting with Claude code I can't do programmatically). Why don't I share it? Because it's highly personal, others would find it doesn't fit th…
This is probably my favorite gain from AI assisted coding: the bar for "who cares about this app" has dropped to a minimum of 1 to make sense. I recently built an app for grocery shopping that is specific to how and where I shop, would be useless to anyone other than my wife. Took me 20 minutes. This is the next frontier: I have a random manual process I do every week, I'll write an app that does it for me.
This mix of doing my main work on complex stuff (healthcare) with heavy AI input, and then having 1-2 agents building lighter tools on the side, has been surprisingly effective.
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It's helping with that part too. I was able to configure a grafana stack with the help of claude for our ansible scripts.
That's no where near the end stage of launching a business.
As mentioned in a comment here:
> 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
Looks like most LLM generated code is used by amateurs/slop coders to generate end-user apps they hope to sell - these user profiles are not the type of people who contribute to the data/code commons. Hence there's no uptick in libs. So basically a measurement issue.
But the mistake is to expect a huge productivity boost.
This is highly related to Amdahl's law, also The Mythical Man-Month.
Some tasks can be accomplished so fast that it seems magical, but the entire process is still very serial, architecture design and debug are pretty weak on the AI side.
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Agree. There's also a weird ideological thing in open source right now, where any AI must be AI slop, and no AI is the only solution. That has strongly disincentivized legitimate contributions from people. I have to imagine that's having an impact. There's a very real problem of low effort AI slop, but throwing out the baby with the bathwater is not the solution. That said, I do kind of wonder if the old model of ope…
You know what else strongly disincentivized legitimate contributions from people? Having your code snatched and its copyright disregarded, to the benefit of some rando LLM vendor. People can just press "pause" and wait until they see whether they fuel something that brings joy to the world. (Which it might in the end. Or not.)
The moat used to be effort, nobody wants to rewrite this from scratch (especially when it's free). What's left is actually understanding why the thing works the way it does. Not sure that's enough to sustain open source long-term? I guess we all have to get used to it?
All of the above are huge software markets outside of the typical Silicon Valley bubble.