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Blindsight

https://en.wikipedia.org/wiki/Blindsight
1•bryanrasmussen•1m ago•0 comments

I built an arcade within ChatGPT

https://chatgpt.com/plugins/plugin_asdk_app_6ae4d461a6d081919bef5e8d8c6516ff
1•Waseemkhalo•7m ago•1 comments

Herdr for iPhone, iPad and Android

https://herdr.dev/mobile/
1•Fabricio20•7m ago•0 comments

We tested eight new decision models. None got more right than the one we use

https://plainlamp.com/blog/new-decision-models
1•ch0I9daAiO•8m ago•0 comments

df-script – 43kB zero-dependency DataFrame engine for TypeScript and JavaScript

https://df-script.js.org/
1•trentmorristx•8m ago•0 comments

Tensor Seeks Layout: Formalizing Layout Selection for ML Compilers

https://arxiv.org/abs/2608.21555
1•matt_d•9m ago•0 comments

AI Company Employees Should Unionize

https://www.astralcodexten.com/p/ai-company-employees-should-unionize
1•JimmyBuckets•10m ago•0 comments

Building a Ethernet Switch ASIC chip

https://essenceia.github.io/projects/expresso/
1•random__duck•13m ago•1 comments

San Francisco weighs limits on self-checkout stations

https://abc7news.com/post/san-francisco-weighs-limits-checkout-stations/19990668/
2•mikhael•13m ago•0 comments

Show HN: Loft – offline Q&A over your local files, with citations (llama.cpp)

https://github.com/nwaoga/loft
1•nwaoga•15m ago•0 comments

WhatWeRun, a database of real production AI agent stacks

https://whatwerun.dev
1•jackjackstudios•15m ago•0 comments

Films, shows, and games to grow up with

https://www.satmornings.com
1•vldx•17m ago•0 comments

Wojak-Bench 3D: Which AI is best at 3D printing?

https://wojak-bench.dev.pion.dev/
1•lukaspetersson•24m ago•0 comments

Rows vs. Columns: How different are they, really?

https://spiraldb.com/blog/rows-vs-columns
2•skadamat•26m ago•0 comments

Show HN: Radiotherapy Delivery Demo Written in Rust and WebAssembly

https://tps.neuralrad.com
2•coolwulf•27m ago•1 comments

October Outage: Technical Overview

https://www.revolut.com/blog/post/20octoutagetechnicaloverview/
2•un_montagnard•28m ago•0 comments

MergeAtlas: Turn PRs into a Map of Cards

https://github.com/ismayilkarimli/MergeAtlas
1•ismayilkarimli•30m ago•1 comments

My agent org speedran a company

https://perfloop.ai/blog/my-agent-org-speedran-a-company
3•tsenart•30m ago•0 comments

Tuberculosis rapid test allows in-the-field results

https://news.northwestern.edu/stories/2026/11/tuberculosis-rapid-test-allows-in-the-field-results
2•gmays•33m ago•0 comments

Dartmouth (Guarini) will not admit math PhD cohort this year

https://www.thedartmouth.com/article/2026/11/gandhi-fagell-guarini-will-not-admit-math-ph-d-cohor...
2•sebg•34m ago•0 comments

Customer success job postings: adoption in 78%, churn in 14%

https://resumefitting.com/customer-success-job-description-keywords
2•dailyworkaholic•34m ago•0 comments

Proof of Corn (2026)

https://proofofcorn.com/dashboard
1•StilesCrisis•37m ago•2 comments

Lego ZX Spectrum

https://ideas.lego.com/product-ideas/1113841c-596d-4f28-be4a-367cc83e8ed1
2•maverick74•39m ago•0 comments

Show HN: Smart Node, a self-hosted crew of AI agents for a small business

https://github.com/dklymentiev/smart-node
1•klmdev•39m ago•0 comments

Silicon Valley claims to know the future. So why'd it get the midterms so wrong?

https://www.technologyreview.com/2026/11/13/1148498/silicon-valley-claims-to-know-the-future-so-w...
14•adriand•40m ago•6 comments

Road Trip at the Borderland

https://longreads.com/2026/10/29/family-road-trip-china-north-korea/
2•wmchen•42m ago•0 comments

Who wants you to hate Ayn Rand? [video]

https://www.youtube.com/watch?v=JKqUUYl5SCY
1•gessha•42m ago•0 comments

Deriving the runtime to get to #1 on $12 server challenge

https://theoric.com/blog/deriving_the_runtime/
1•hargup•44m ago•0 comments

US has floated Ukraine ceding Donbas for NATO membership, Zelensky says

https://www.bbc.co.uk/news/articles/cwvg2l312ylqo
6•lifeisstillgood•44m ago•0 comments

Italy fines Meta €805M over accessing users' photos

https://www.bbc.com/news/articles/cwn83gxemk35o
9•devonnull•51m ago•1 comments
Open in hackernews

Ask HN: What percentage of your coding is now vibe coding?

2•mbm•1y ago
As a rough estimate...

Comments

90s_dev•1y ago
Proudly zero. I just wrote and posted an article explaining why. The short version: genuine engineering is an abandoned skill I want to revive.
leakycap•1y ago
Zero.

But there wasn't this much hate for people who copied random Javascript off whatever site LYCOS linked you to back in the day. Vibe coding for non-critical applications doesn't seem all that different to me.

JohnFen•1y ago
Zero
latexr•1y ago
Zero. I care about the code I write and value doing things well and building knowledge through deep understanding. Over the years I’ve proven to myself (and others) that approach improves both speed and accuracy, as well as reduce the need for rewrites because experience increases the chance I’ll get it right early on and design in a way that I don’t paint myself into corners.

I’ve noticed that coding with an LLM leads to severely diminished knowledge retention and learning (not to mention it’s less fun), and I suspect overuse would lead to a degree of dependency I don’t wish for myself.

joeismailyan•1y ago
Depends on the task. I use AI for planning/figuring out how to implement stuff. Probably 80% is with AI to bounce ideas off and figure things out.

Writing the code, probably 30% is with AI. Our product requires a lot of context for AI to get stuff right so it's challenging to get it to write good, working code. If it's a small thing that doesn't require a lot of context then I use AI.

I use various tools for this, let me know your needs and I can provide recommendations.

chrisrickard•1y ago
Vibe coding in the traditional sense (coined by Karpathy back in Feb): 20%

Vibe coding using detailed, structured requirements (from tools like Userdoc): 65%

khedoros1•1y ago
Very little. It's directly forbidden for my day job, and if I'm programming anything in my off hours, it's for my own enjoyment.

All of the code that I've generated by LLM has backed itself into a corner very early on, so I tend to use that as a starting point, then fix and refactor. I've made some toy-sized programs that way (but hours quicker than I would've looking up library documentation on my own).

I've had good luck refining my understanding of some concepts, talking through design of pieces of code, and basically generating snippets of example code on demand. Even in those limited cases, I end up relying on my own experience to determine what's helpful and what's crap. They're usually intertwined.

codeqihan•1y ago
Partly. Mostly I write it myself, and only ask the LLM when I encounter problems.
apothegm•1y ago
I almost never tell it to just write me a thing (what I think of as vibe coding). (2%)

I sometimes write a pretty detailed doc or spec; have the AI draft an implementation; then review and fix it myself. I try to keep this to “reasonable PR” size, a few hundred lines (a module or two) max, and will do a few rounds per hour. (~25%)

I will often stub out modules or classes (sometimes with docstrings) and tab-complete big chunks of them. (And then turn tab completion off and rage-code the rest by hand because the AI is so far off base.) (~25%)

I will often tell the AI to write tests for stubbed methods prior to implementation. I then double check the tests before moving on to manual or AI-assisted implementation. This is usually in increments of a single AI request/response. (~35%)

I will occasionally ask the AI to change existing code and tests, usually in a single request/response. I’ve had very mixed results with this. (~10%)

I have been finding myself writing code in smaller standalone libraries and then assembling those into larger and larger composites so that each library is a size a model can more realistically reason about; and for the layers on top of it the AI wont fill its context up reading all that source instead of just the public API docs.

rstuart4133•1y ago
Zero.

I've now convinced myself current LLM's are much closer to a "stochastic parrot" than an AGI in all areas other than natural language processing. In natural language they are super-human, meaning they can wordsmith better than most humans and are far faster at it than all humans.

That means it you are writing something it's seen a lot of before in it's training data in a language that's somewhat forgiving (so, not C), vibe coding might have 1/2 a chance. I don't do that. But if you're building UI's in javascript using a common framework it might work for you.