frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

Start all of your commands with a comma

https://rhodesmill.org/brandon/2009/commands-with-comma/
101•theblazehen•2d ago•22 comments

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

https://openciv3.org/
654•klaussilveira•13h ago•189 comments

The Waymo World Model

https://waymo.com/blog/2026/02/the-waymo-world-model-a-new-frontier-for-autonomous-driving-simula...
944•xnx•19h ago•549 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
119•matheusalmeida•2d ago•29 comments

What Is Ruliology?

https://writings.stephenwolfram.com/2026/01/what-is-ruliology/
38•helloplanets•4d ago•38 comments

Unseen Footage of Atari Battlezone Arcade Cabinet Production

https://arcadeblogger.com/2026/02/02/unseen-footage-of-atari-battlezone-cabinet-production/
48•videotopia•4d ago•1 comments

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

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

Jeffrey Snover: "Welcome to the Room"

https://www.jsnover.com/blog/2026/02/01/welcome-to-the-room/
14•kaonwarb•3d ago•17 comments

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

https://github.com/pydantic/monty
219•dmpetrov•14h ago•113 comments

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

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

Sheldon Brown's Bicycle Technical Info

https://www.sheldonbrown.com/
378•ostacke•19h ago•94 comments

Hackers (1995) Animated Experience

https://hackers-1995.vercel.app/
487•todsacerdoti•21h ago•241 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/
286•eljojo•16h ago•167 comments

An Update on Heroku

https://www.heroku.com/blog/an-update-on-heroku/
409•lstoll•20h ago•276 comments

Vocal Guide – belt sing without killing yourself

https://jesperordrup.github.io/vocal-guide/
21•jesperordrup•4h ago•12 comments

Dark Alley Mathematics

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

PC Floppy Copy Protection: Vault Prolok

https://martypc.blogspot.com/2024/09/pc-floppy-copy-protection-vault-prolok.html
59•kmm•5d ago•4 comments

Where did all the starships go?

https://www.datawrapper.de/blog/science-fiction-decline
4•speckx•3d ago•2 comments

Delimited Continuations vs. Lwt for Threads

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

How to effectively write quality code with AI

https://heidenstedt.org/posts/2026/how-to-effectively-write-quality-code-with-ai/
251•i5heu•16h ago•194 comments

Was Benoit Mandelbrot a hedgehog or a fox?

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

Introducing the Developer Knowledge API and MCP Server

https://developers.googleblog.com/introducing-the-developer-knowledge-api-and-mcp-server/
56•gfortaine•11h ago•23 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/
1062•cdrnsf•23h ago•444 comments

Why I Joined OpenAI

https://www.brendangregg.com/blog/2026-02-07/why-i-joined-openai.html
144•SerCe•9h ago•133 comments

Learning from context is harder than we thought

https://hy.tencent.com/research/100025?langVersion=en
180•limoce•3d ago•97 comments

Understanding Neural Network, Visually

https://visualrambling.space/neural-network/
287•surprisetalk•3d ago•41 comments

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

https://infisical.com/blog/devops-to-solutions-engineering
147•vmatsiiako•18h ago•67 comments

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

https://github.com/phreda4/r3
72•phreda4•13h ago•14 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...
29•gmays•9h ago•12 comments
Open in hackernews

What I learned building an AI coding agent for a year

https://jamesgrugett.com/p/what-i-learned-building-an-ai-coding
30•vinhnx•7mo ago

Comments

asadm•7mo ago
why has nobody solved the code editing in a robust way yet. I think all the implementations so far have been hacky. I also had to write my own basic one a few times[1].

I guess diffusion-based models can prove good for this usecase?

1. https://github.com/asadm/vibemode/blob/main/source/editor.js

esafak•7mo ago
The most robust way is not to index. Then you can't go wrong, but it is slower. People seem to be ok with it since the ML part takes longer -- for typical codebases, at least.

https://news.ycombinator.com/item?id=44106944

jsnell•7mo ago
I don't see how indexing is related to this? The question is about how to get the LLM to reliably apply the edit it wants to make. Even when the full current version of the file is in the context, this is one of the flakiest bits of the current LLM workflows.
esafak•7mo ago
In my mind the concern was about the LLMs mental model of what the files look like, which affects edits. I see where you're coming from too.
skydhash•7mo ago
> why has nobody solved the code editing in a robust way yet.

Mostly because code editing is not the problem. When coding the solution exists out of the coding space. Code only remove ambiguity. It may conflict with earlier interpretations or the current interpretation is flaky, which leads to bugs, aka actual behavior differs from expected behavior (which also exists out of the coding space).

So trying to solve things within the coding space is an incorrect approach since the beginning of computation. And trying to merge natural languages (great for exploring problems) and formal languages (great for specifying instructions) was seen as foolishness by Dijkstra [0].

The reason natural languages are great for problem solving is that we can redefine what things means easily, changing the semantic of terms as our understanding evolves. And when we've settled on a set of semantics and a process, we translate that to formal notation so it stays fixed. An analogy is sketching (where we freely edit lines and just try stuff) and oil painting where every brush stroke is purposeful.

[0]: https://www.cs.utexas.edu/~EWD/transcriptions/EWD06xx/EWD667...

nunez•7mo ago
Why do blog post authors decide to use AI art with nonsense text in it? It's a dead giveaway and looks sloppy, IMO. Unless the new normal is that images with gibberish text are fine now.

I immediately stop reading whatever I'm reading when I see this. I'm left to assume that the post I'm reading was also heavily AI-assisted and isn't a true representation of the author's writing ability or their actual thoughts.

I'd much rather see a post full of grammatical errors and stock art from an author with a story to tell that actually put the work in than a grammatically/syntactically milquetoast piece in the style of a million other milquetoast pieces.

TL;DR: "If they can't be bothered to actually write this, then I can't be bothered to read it," is what I think when I see AI slop art.

jahooma•7mo ago
I wrote every word! Though I did have some suggestions from Opus haha
iFire•7mo ago
Oh no achivement acquired!

jahooma failed the turing test as a human :'( The human text is seen as ai text.

I don't know what to think about this.

jahooma•7mo ago
Current AI's could never have such deep thoughts haha
egamirorrim•7mo ago
Looks really cool! But I have to able to bring my own LLM. In a space moving this fast by the time my enterprise has finished vetting a tool that wants to be it's own LLM/process my data itself, it's already out of date.

I'd love to be able to connect Azure AI and Vertex to this (for the full range of models it uses)