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Velocity of Money

https://en.wikipedia.org/wiki/Velocity_of_money
1•gurjeet•30s ago•0 comments

Stop building automations. Start running your business

https://www.fluxtopus.com/automate-your-business
1•valboa•4m ago•1 comments

You can't QA your way to the frontier

https://www.scorecard.io/blog/you-cant-qa-your-way-to-the-frontier
1•gk1•5m ago•0 comments

Show HN: PalettePoint – AI color palette generator from text or images

https://palettepoint.com
1•latentio•6m ago•0 comments

Robust and Interactable World Models in Computer Vision [video]

https://www.youtube.com/watch?v=9B4kkaGOozA
1•Anon84•10m ago•0 comments

Nestlé couldn't crack Japan's coffee market.Then they hired a child psychologist

https://twitter.com/BigBrainMkting/status/2019792335509541220
1•rmason•11m ago•0 comments

Notes for February 2-7

https://taoofmac.com/space/notes/2026/02/07/2000
2•rcarmo•13m ago•0 comments

Study confirms experience beats youthful enthusiasm

https://www.theregister.com/2026/02/07/boomers_vs_zoomers_workplace/
2•Willingham•20m ago•0 comments

The Big Hunger by Walter J Miller, Jr. (1952)

https://lauriepenny.substack.com/p/the-big-hunger
1•shervinafshar•21m ago•0 comments

The Genus Amanita

https://www.mushroomexpert.com/amanita.html
1•rolph•26m ago•0 comments

We have broken SHA-1 in practice

https://shattered.io/
7•mooreds•26m ago•2 comments

Ask HN: Was my first management job bad, or is this what management is like?

1•Buttons840•27m ago•0 comments

Ask HN: How to Reduce Time Spent Crimping?

2•pinkmuffinere•29m ago•0 comments

KV Cache Transform Coding for Compact Storage in LLM Inference

https://arxiv.org/abs/2511.01815
1•walterbell•33m ago•0 comments

A quantitative, multimodal wearable bioelectronic device for stress assessment

https://www.nature.com/articles/s41467-025-67747-9
1•PaulHoule•35m ago•0 comments

Why Big Tech Is Throwing Cash into India in Quest for AI Supremacy

https://www.wsj.com/world/india/why-big-tech-is-throwing-cash-into-india-in-quest-for-ai-supremac...
1•saikatsg•35m ago•0 comments

How to shoot yourself in the foot – 2026 edition

https://github.com/aweussom/HowToShootYourselfInTheFoot
1•aweussom•36m ago•0 comments

Eight More Months of Agents

https://crawshaw.io/blog/eight-more-months-of-agents
4•archb•38m ago•0 comments

From Human Thought to Machine Coordination

https://www.psychologytoday.com/us/blog/the-digital-self/202602/from-human-thought-to-machine-coo...
1•walterbell•38m ago•0 comments

The new X API pricing must be a joke

https://developer.x.com/
1•danver0•39m ago•0 comments

Show HN: RMA Dashboard fast SAST results for monorepos (SARIF and triage)

https://rma-dashboard.bukhari-kibuka7.workers.dev/
1•bumahkib7•39m ago•0 comments

Show HN: Source code graphRAG for Java/Kotlin development based on jQAssistant

https://github.com/2015xli/jqassistant-graph-rag
1•artigent•44m ago•0 comments

Python Only Has One Real Competitor

https://mccue.dev/pages/2-6-26-python-competitor
4•dragandj•46m ago•0 comments

Tmux to Zellij (and Back)

https://www.mauriciopoppe.com/notes/tmux-to-zellij/
1•maurizzzio•46m ago•1 comments

Ask HN: How are you using specialized agents to accelerate your work?

1•otterley•48m ago•0 comments

Passing user_id through 6 services? OTel Baggage fixes this

https://signoz.io/blog/otel-baggage/
1•pranay01•49m ago•0 comments

DavMail Pop/IMAP/SMTP/Caldav/Carddav/LDAP Exchange Gateway

https://davmail.sourceforge.net/
1•todsacerdoti•49m ago•0 comments

Visual data modelling in the browser (open source)

https://github.com/sqlmodel/sqlmodel
1•Sean766•51m ago•0 comments

Show HN: Tharos – CLI to find and autofix security bugs using local LLMs

https://github.com/chinonsochikelue/tharos
1•fluantix•52m ago•0 comments

Oddly Simple GUI Programs

https://simonsafar.com/2024/win32_lights/
1•MaximilianEmel•52m ago•0 comments
Open in hackernews

AI-Generated App Is a Ticking Time Bomb

https://www.quantedsquare.com/blog/vibe-coding-for-noob
8•leray_J•7mo ago

Comments

herbst•7mo ago
I would have agreed a few weeks ago. But I can't anymore, the limitation I see is scope size and not capability. And available context sizes will just get bigger
leray_J•7mo ago
Well, until Claude Code ends the game(maybe in a few months), yeah. Today we're not there yet, even with full codebase knowledge. At least from my experience and how I want it to be done. For some, the damage has already been done. Wait & see !
herbst•7mo ago
I've seen it do so stupid things I am still afraid running each query. It honestly kinda stressful to keep up with, when it starts breaking things. More like a super fast trainee than a coworker to depend on. Yet do damn efficient to work with
GuySake•7mo ago
Have you seen LLM play chess? They would not best an average 6 years old who just learned the rules. I doubt giving them more context would help. There are some thing you can't just parrot your way out.

And I would easily argue that it's harder to copy the behavior of a good software engineer than it is to copy the moves of a good chess players.

Not even talking about understanding the business logic you are actually implementing. Which LLM seems as far as understanding chess.

herbst•7mo ago
As I see it I am directing it while constantly watching, controlling and questioning it.

I wouldnt let it do anything on larger code bases, but building highly specialized services or components IS crazy efficient, when you question ever move.

sturza•7mo ago
There are several steps missing from:

A startup founder uses AI to create an MVP

to

They secure funding based on the demo

to

They find themselves unable to move beyond that initial prototype

I have trouble believing tech investors throwing money towards a founder that shows a vibe coded product without anything else. The product might be vibe coded, BUT the founder show some traction or discovered a new market or something besides a demo. It does not really matter how a founder did the MVP, they did not create google. They just showed, through the MVP, something to investors. What happens next, after money, i doubt it's vibe coded.

leray_J•7mo ago
I agree with your point about the funding process being oversimplified. However, I've seen many founders become emotionally attached to their MVP, convinced it's good enough to scale without fundamental rethinking. They push forward with what's essentially a throwaway prototype instead of rebuilding it properly with lessons learned from initial user feedback. And some people are just cheap by nature. Last point is a huge one, even when funding is good enough. Does not make sense to make, I've seen it.
sturza•7mo ago
>However, I've seen many founders become emotionally attached to their MVP, convinced it's good enough to scale without fundamental rethinking.

i have no doubt, but this has nothing to do with the MVP being vibe coded or not - this has something to do with the (technical)experience of the founder + other personality traits

GuySake•7mo ago
I see pre seed round going to millions before there is an app. And I've been called as last resort to help people fix their app in the weekend because national TV was coming next Monday.

I can 100% see AI worsen and accelerate that kind of things.

sturza•7mo ago
Exactly my point, this has nothing to do with how the MVP was made. Dubious investment rounds exist with or without vibe coding anyway.
yakattak•7mo ago
It’s the hype cycle. Are LLMs going to become invaluable to software engineering? Definitely. Are they going to do everything everyone on X says they will? Probably not. Right now we’re in the peak of inflated expectations.

Anecdotally I’ve been using Claude to help me write a C# CLI tool from scratch. The more lines I let it write, the less and less I understand the code. Can I copy/paste it and it works? Probably 90% of the time. When I have to go and fix it, it is a huge burden.

When I prompt it to do one singular function, it’s amazing. That’s a clear and concise unit to understand.

perrygeo•7mo ago
This matches my experience. There's a place for LLMs in exploratory research. There's a place for LLMs in scaffolding code that would otherwise be too tedious to write.

But where real decisions need to be made by those with "skin in the game", LLMs are a disaster. Vibe coding quickly falls off a cliff. They create code architectures that no human would given the context, and as a result no human can feasibly understand or maintain them long term.

I would say this is boon to real software developers - tons of apps that need an expert to maintain, it's job security, right? Well, no. I suspect, rather than maintain these LLM-generated monstrosities, most organizations will just let them rot. That was the default in the golden age of zero-interest engineering, that's the default in the golden age of vibe coding too.

leray_J•7mo ago
When it's too rotted, organizations plan to replace the whole system and pay 10x the price of what it would have cost to do it right in the first place, costly migration consulting mission, bullshit stuff and noise everywhere. The mid/long-term game is where the opportunity lies if you are a dev. The cycle is kind of safe for software engineer to me. Jus there won't be a place for HTML/CSS integrator, untalented PHP dev copy / pasting of random PHP function from SO anymore as it use to be 15 years ago. Those are cooked.