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Start all of your commands with a comma

https://rhodesmill.org/brandon/2009/commands-with-comma/
142•theblazehen•2d ago•42 comments

OpenCiv3: Open-source, cross-platform reimagining of Civilization III

https://openciv3.org/
668•klaussilveira•14h ago•202 comments

The Waymo World Model

https://waymo.com/blog/2026/02/the-waymo-world-model-a-new-frontier-for-autonomous-driving-simula...
949•xnx•19h ago•551 comments

How we made geo joins 400× faster with H3 indexes

https://floedb.ai/blog/how-we-made-geo-joins-400-faster-with-h3-indexes
122•matheusalmeida•2d ago•32 comments

Unseen Footage of Atari Battlezone Arcade Cabinet Production

https://arcadeblogger.com/2026/02/02/unseen-footage-of-atari-battlezone-cabinet-production/
53•videotopia•4d ago•2 comments

Show HN: Look Ma, No Linux: Shell, App Installer, Vi, Cc on ESP32-S3 / BreezyBox

https://github.com/valdanylchuk/breezydemo
229•isitcontent•14h ago•25 comments

Jeffrey Snover: "Welcome to the Room"

https://www.jsnover.com/blog/2026/02/01/welcome-to-the-room/
16•kaonwarb•3d ago•19 comments

Monty: A minimal, secure Python interpreter written in Rust for use by AI

https://github.com/pydantic/monty
222•dmpetrov•14h ago•117 comments

Vocal Guide – belt sing without killing yourself

https://jesperordrup.github.io/vocal-guide/
27•jesperordrup•4h ago•16 comments

Show HN: I spent 4 years building a UI design tool with only the features I use

https://vecti.com
330•vecti•16h ago•143 comments

Hackers (1995) Animated Experience

https://hackers-1995.vercel.app/
494•todsacerdoti•22h ago•243 comments

Sheldon Brown's Bicycle Technical Info

https://www.sheldonbrown.com/
381•ostacke•20h ago•95 comments

Microsoft open-sources LiteBox, a security-focused library OS

https://github.com/microsoft/litebox
359•aktau•20h ago•181 comments

Show HN: If you lose your memory, how to regain access to your computer?

https://eljojo.github.io/rememory/
288•eljojo•17h ago•169 comments

An Update on Heroku

https://www.heroku.com/blog/an-update-on-heroku/
412•lstoll•20h ago•278 comments

Was Benoit Mandelbrot a hedgehog or a fox?

https://arxiv.org/abs/2602.01122
19•bikenaga•3d ago•4 comments

PC Floppy Copy Protection: Vault Prolok

https://martypc.blogspot.com/2024/09/pc-floppy-copy-protection-vault-prolok.html
63•kmm•5d ago•6 comments

Dark Alley Mathematics

https://blog.szczepan.org/blog/three-points/
90•quibono•4d ago•21 comments

How to effectively write quality code with AI

https://heidenstedt.org/posts/2026/how-to-effectively-write-quality-code-with-ai/
256•i5heu•17h ago•196 comments

Delimited Continuations vs. Lwt for Threads

https://mirageos.org/blog/delimcc-vs-lwt
32•romes•4d ago•3 comments

What Is Ruliology?

https://writings.stephenwolfram.com/2026/01/what-is-ruliology/
43•helloplanets•4d ago•42 comments

Where did all the starships go?

https://www.datawrapper.de/blog/science-fiction-decline
12•speckx•3d ago•4 comments

Introducing the Developer Knowledge API and MCP Server

https://developers.googleblog.com/introducing-the-developer-knowledge-api-and-mcp-server/
59•gfortaine•12h ago•25 comments

Female Asian Elephant Calf Born at the Smithsonian National Zoo

https://www.si.edu/newsdesk/releases/female-asian-elephant-calf-born-smithsonians-national-zoo-an...
33•gmays•9h ago•12 comments

I now assume that all ads on Apple news are scams

https://kirkville.com/i-now-assume-that-all-ads-on-apple-news-are-scams/
1066•cdrnsf•23h ago•446 comments

I spent 5 years in DevOps – Solutions engineering gave me what I was missing

https://infisical.com/blog/devops-to-solutions-engineering
150•vmatsiiako•19h ago•67 comments

Why I Joined OpenAI

https://www.brendangregg.com/blog/2026-02-07/why-i-joined-openai.html
149•SerCe•10h ago•138 comments

Understanding Neural Network, Visually

https://visualrambling.space/neural-network/
287•surprisetalk•3d ago•43 comments

Learning from context is harder than we thought

https://hy.tencent.com/research/100025?langVersion=en
182•limoce•3d ago•98 comments

Show HN: R3forth, a ColorForth-inspired language with a tiny VM

https://github.com/phreda4/r3
73•phreda4•13h ago•14 comments
Open in hackernews

Is 30% of Microsoft's code AI-generated?

https://idiallo.com/blog/is-30-percent-of-microsoft-code-ai-generated
16•foxfired•2mo ago

Comments

cedilla•2mo ago
Up to 70% or more of statistics in sales calls are exaggerated, waffley or completely made up.
jethronethro•2mo ago
83% of people know that ...
Eddy_Viscosity2•2mo ago
I'm not sure I can trust this, 73.8% of statistics listed in HN comments are made up on the spot.
m463•2mo ago
I wonder about ai-generated code with respect to copyright.
AlexandrB•2mo ago
Even if true it's quite funny because code volume is not a good metric. It's why developer productivity generally should not measured in "LOC produced".

Or to paraphrase Blaise Pascal: "If I had more time, I would have written less code."

almoehi•2mo ago
What I found in practise is that AI generated code is typically 30% longer than it should be compared to how an experienced senior would write it.

It’s not that it is wrong or anything - it’s just unnecessary verbose.

Which you could argue is not a problem if it won’t be read by humans anyways anymore in the near future.

furyofantares•2mo ago
> Which you could argue is not a problem if it won’t be read by humans anyways anymore in the near future.

It's a problem right now for code that isn't being read by humans.

LLM-backed agents start by writing slightly bad code that's a little too verbose, too careful in error handling, writes too much fallback code, among other common minor LLM-ish flaws. And then it's next turn of the crank sees all that, both as an example but also as code it must maintain, and is slightly more bad in all those ways.

This is why vibing ends up so bad. It keeps producing code that does what you asked for a fairly long time, so you can get a long way vibing. By the time you hit a brick wall it will have been writing very bad code for a long while, and it's not clear that it's easier to fix it than start over and try not to accept any amount of slop.

david-gpu•2mo ago
> too careful in error handling, writes too much fallback code

Is it possible that your code goes a little cowboy when it comes to error handling? I don't think I've ever seen code that was too careful when it came to error handling -- but I wrote GPU drivers, so perhaps the expectations were different in that context.

hedora•2mo ago
I’ve definitely seen agents add null checks to a computed value in a function, but then not change the return type to be non-null. Later, it adds a null checks at each call site, each with a different error message and/or behavior, but all unreachable.

For bonus points, it implements a redundant version of the same API, and that version can return null, so now the dozen redundant checks are sorta unreachable.

furyofantares•2mo ago
When I'm writing web services I think I handle almost every error and I don't have this complaint there.

When I'm writing video games there's lots of code where missing assets or components simply mean the game is misconfigured and won't work and I would like it to loudly and immediately fail. I often like just crashing there. There are better options sometimes too, making a lot of noise but allowing continuation. But LLMs seem to be bad at using those too.

Actually to go back to web services, I do still hate the way I've had LLMs handle errors there too - too often they handle them silently or worse, provide some fallback behavior that masks the error. They just don't write code that looks like it was written by someone with 1) some assumptions about how the code is going to be used 2) some ideas about how likely their assumptions are to be wrong or 3) some opinions about how they'd like to learn their assumptions are wrong if so.

hightrix•2mo ago
I'd be curious how much of MSFT's code is generated by simple auto-complete (intellisense) vs AI powered auto-complete vs generated from a prompt.
fuckinpuppers•2mo ago
Ever used azure? Sure seems like there was an inhuman force behind it
carlmr•2mo ago
It was bad before AI. Not saying AI vibe code is great, just that poor engineering culture existed before AI.
cedws•2mo ago
>I'd say maybe 20%, 30% of the code that is inside of our repos today and some of our projects are probably all written by software.

This sentence is carefully crafted. It's an opinion, not a statement of fact, so he can cover his ass. In other words, legal lying. Elon Musk does the same thing all the time. Somehow, the markets don't see through the obvious bullshit.

nikole9696•2mo ago
Well 90% of my test code is AI generated, and we have a lot of tests. Also Cursor is really good at generating all my documentation. So depending on how we spin it, I could say at least half the code (often more if I'm spinning up new stuff it can do based off existing stuff) in my PR was AI generated.

That said, AI wasn't very good until it had enough examples and guidance from us on our codebase. After that though, it definitely helps.

Caveat: I'm no rocket scientist. It's not difficult code. It's just web services and whatnot. The code is often the least difficult part of my job.