MurphyA/hacker-news huggingface dataset:
by Sharparam | 2026-03-10 13:41:19+00:00
> and my language being set to English

Absolutely not. Language should never have any merit at all on country selection.

As a Swede that prefers the English language for tech and internet stuff, sites that try to be smart about country selection based on browser language or language selection based on IP location can kindly go die in a fire. An extra hot fire if they don't even let you manually override the automatic "detection".
by short_sells_poo | 2026-03-10 13:41:42+00:00
> We, agentic coders, can easily enough fork their project

And this is why eventually you are likely to run the artisanal coders who tend to do most of the true innovation out of the room.

Because by and large, agentic coders don't contribute, they make their own fork which nobody else is interested in because it is personalized to them and the code quality is questionable at best.

Eventually, I'm sure LLM code quality will catch up, but the ease with which an existing codebase can be forked and slightly tuned, instead of contributing to the original, is a double edged sword.
by skydhash | 2026-03-10 13:41:58+00:00
I'm not a professional embedded engineer, but I do hack around it. Some books I collected:

- Applied Embedded Electronics: Design Essentials for Robust Systems by J. Twomey. It goes over the whole process making a device and what knowledge would be required for each. Making Embedded Systems, 2nd Edition by E. White is a nice complement.

- Embedded System Interfacing by M. Wolf describes the signals and protocols behind everything. It's not necessary as a book, but can help understand the datasheets and standards

- But you want to start with something like Computer Architecture by C. Fox or Write Great Code - Volume 1 - Understanding the Machine, 2nd Edition by R. Hyde. There are better textbooks out there, but those are nice introductions to the binary world.

The gist is that you don't have a lot of memory and CPU power (If you do, adapting Linux is a more practical option unless it's not suited for another reason). So all the nice abstractions provided by an OS is a no go, so you need to take care of the hardware and those are really finicky,
by user3939382 | 2026-03-10 13:41:58+00:00
NetBSD has their new npf firewall which is quite nice. Of all the options their internal architecture is the cleanest. It gets less fanfare than the others because it has less drivers, although even that is partially due to a commitment against binary blobs.

FreeBSD is more practical but for example you find the config files scattered about the file system whereas in NetBSD they’re always exactly where I expect. SDF.org has a great NetBSD system if anyone wants to try it out.
by oreally | 2026-03-10 13:41:59+00:00
> So would the model work if it only trained on the top 10% of pixels in every image? Or do they in fact need the entire image before they begin processing it, and therefore use the entire image?

The model works by training on what features humans can make sense out of the image they're presented with, if the image and the observations of the image's feature were clear/observable enough. Then the generation makes use of those observations. I'm just using 10% as an arbitrary number to describe proportions. If the generation were 100% of the observations from the same image, the model would be overfitting, and many would have deemed it to have produced a copy.

> Just because a race car uses kinetic energy, gravity, and friction to propel itself, the same way a human does, doesn't mean it's doing the same thing as a human.

WTF does this even mean? A race car uses concepts from Newton, just as how a human uses gravity to train it's muscles to move be it knowingly or unknowingly. But you don't see them (car makers/humans) paying rent to Newton after he discovered gravity. Come on!
by randusername | 2026-03-10 13:42:23+00:00
> Although there is an opinion that templates are dangerous because of executable code bloating, I think that templates are developer’s friends, but the one must know the dangers and know how to use templates effectively. But again, it requires time and effort to get to know how to do it right.

idk man, obviously I don't know much since I don't have my own online book, but templates would not be at the start of my list when selling C++ for bare-metal.

unit suffixes, namespaces, RAII, constexpr, OOP (interfaces mostly), and I like a lot of the STL in avoiding inscrutable "raw loops".

I like the idea of templates, but it feels like a different and specialized skillset. If you are considering C++ from C, why not ease into it?
by clumsysmurf | 2026-03-10 13:42:24+00:00
> now i have free credit monitoring

Might not even matter ...

"TransUnion and Experian, two of the three major credit bureaus, have started dismissing a larger share of consumer complaints without help since the Trump administration began dismantling the CFPB."

https://www.propublica.org/article/credit-report-mistakes-cf...
by WhitneyLand | 2026-03-10 13:42:28+00:00
“Cursor has to pay Anthropic's retail API prices (or close to it) for access to Opus 4.6. So to provide a Claude Code-equivalent experience using Opus 4.6, it would cost Cursor ~$5,000 per power user per month. But it would cost Anthropic perhaps $500 max.”

Cursor seems to be in a tough spot. Just heard the swix podcast on their big new cloud agents thing, and it’s looking like a pretty small moat these days.
by catlifeonmars | 2026-03-10 13:42:40+00:00
If I had to characterize it, most minimally-prompted LLM prose has two issues:

- the writing always feels self-important. I would feel a lot more receptive if I perceived that the writer came from a place of humility

- like you pointed out, overuse of writing techniques that work best if used sparingly. Sentence fragments can be effective for emphasizing a point, but if you use it in every. Single. paragraph, the effect is gone. It’s very amateurish.
by kevinwalton | 2026-03-10 13:43:30+00:00
White gloss and black gloss both use the same UV coating and handleless push-open drawer mechanism — the practical properties are identical. The choice comes down to the room's existing palette. White gloss suits rooms where the walls are light or neutral, or where the brief is to keep the space feeling open and uncluttered. Black gloss suits rooms with a darker, more defined scheme — charcoal walls, deep bedding, or a deliberately moody atmosphere — where a white chest would read as a jarring interruption. Grey gloss sits between the two and is the most versatile across mixed schemes. All three finishes apply UV coating to the drawer fronts; the white and black versions also apply it to the top surface.
by ACCount37 | 2026-03-10 13:44:03+00:00
One of the main edges Anthropic has is that "personality tuning" gap. "Nice to use" is a differentiator when raw performance isn't.

OpenAI can sometimes get an edge over Anthropic in hard narrow STEM tasks. I trust benchmarks over vibes there - and the benchmarks show the teams trading blows release after release. Tracking Claude Code vs OpenAI Codex on SWE-bench Verified feels like watching the back alley knife fight of the AI frontier.

But the vibe of "how easy is that model to interact with" and "how easy it is to get it to do what you want it to" does matter a lot when you are the one doing the interacting. And Opus makes for a damn good daily driver.
by BoxOfRain | 2026-03-10 13:44:36+00:00
> On the other, Rao much more optimistic than Orwell, who declared doublespeak the lingua franca?

If time travel were possible, one of the first things I'd do is introduce Orwell to the 'algospeak' of today. This would do two things, firstly it'd show him a decent piece of evidence that Newspeak isn't as effective a tool for limiting human thought as he believed, and secondly he'd have to write another version of Politics and the English Language aimed at the language sins of attention economy era social media.
by angiolillo | 2026-03-10 13:44:40+00:00
> it did not justify the hundreds of hours I invested in this project.

I agree with this but minimizing the cost changes the ROI.

Personally, I've discovered useful insights tracking various life metrics. But I also found quickly diminishing returns after a few weeks or months -- if an association isn't obvious within that timeframe it's either too much effort to isolate or too slow or small to matter.

At various points I've tracked calories, macronutrients, weight, allergens, supplements, sleep, exercise volume, exercise timing, nighttime screen use, spending/budget, air quality, and mood. Now I know what kind of cooking wrecks the air quality in my house, what foods I don't digest well, what various protein/carb/fat ratios look like on my plate, how much effort it takes to improve fitness, and that late exercise and alcohol wreck my sleep quality while blue screens have no measurable effect. But once I understand the associations I can alter my behavior and move on.

> The whole "quantified self" movement might be more about OCD and perfectionism than anything else.

I would agree that continuing to track metrics every day long after they've stopped yielding interesting insights is compulsive behavior. But I think that's an argument for time-boxing experiments, not necessarily for avoiding them altogether.
Ask HN: What is your current Agentic and/or Vibe coding setup?
by sschueller | 2026-03-10 13:44:40+00:00
Here is what I use and what I have tried. This is the way I name these but they may be all be considered "Vibe" coding.

Agentic:

- Kilocode in VSCode and Jetbrains IDEs. - Works very well but needs to be babysat. For models I had best results with GTM-4, Gemini 3 Pro and DeepSeek Coder (can't beat the price).

- Jetbrains AI tools and Juni. - Also works well but also required close supervision. Codex is my model of choice at the moment. Claude messed up my UI so I haven't tried it much.

Vibe:

I have had little luck getting anything useful out of these. They will build something and it won't work. I can then spend hours going back and forth telling them to fix it but they don't get anywhere. I have feeling I would be much better off going the Agentic way and babysit.

- Maestro - Doesn't produce anything that works. Can use up all my Claude credits in a short period of time and get nothing out of it.

- Kilocode (App Builder) - Doesn't produce anything workable.

- Antigravity - I run out of credits very quickly and it gets very expensive plus I don't see any usable results

Does anyone have better experience trying to "vibe code" (give a details command and walk away for a few hours) something?
by short_sells_poo | 2026-03-10 13:44:45+00:00
This is not even about capabilities but responsibility. In an open source context where the maintainers take no responsibility for the code, it's perhaps easier. In a professional context, ultimately it's the human who is responsible, and the human has to make the call whether they trust the LLM enough.

Imagine someone vibe codes the code for a radiotherapy machine and it fries a patient (humans have made these errors). The developer won't be able to point to OpenAI and blame them for this, the developer is personally responsible for this (well, their employer is most likely). Ergo, in any setting where there is significant monetary or health risk at stake, humans have to review the code at least to show that they've done their due diligence.

I'm sure we are going to have some epic cases around someone messing up this way.
Show HN: Gui.new – The Visual Layer for AI
by mynameisntbob | 2026-03-10 13:44:48+00:00
Hey HN,
I built gui.new. You paste one line into ChatGPT or Claude, and from that point on, whenever you ask for something visual (a dashboard, chart, form, report) it renders it as a live shareable link instead of dumping HTML in your chat.

The prompt:

"Read https://gui.new/docs/llms.txt - use gui.new to render any visual output as a shareable link. Apply this anytime you'd normally show a table, chart, dashboard, or UI mockup."

That's the whole setup. Your AI reads the spec, starts using it, and every visual output becomes a clickable URL you can share with anyone.

Every link gets real-time input sync (form fields, sliders, toggles work across all viewers), state persistence (survives after everyone leaves), and live updates via SSE. Links expire after 24 hours by default.

I built it because AI is great at generating UIs but terrible at showing them. You ask for a dashboard and get a code block. gui.new closes that gap.

Under the hood, your AI is making a single POST call to create a canvas:

```
POST https://gui.new/api/canvas
{"html": "<h1>Hello</h1>"}

-> {"url": "https://gui.new/abc123"}
```

You don't need to interact with the API yourself. But if you want to, there are SDKs (`npm install gui-new` / `pip install gui-new`) and the REST API is documented at gui.new/docs.

Free, no signup. Try it at https://gui.new

Happy to answer questions!
by ptnpzwqd | 2026-03-10 13:45:09+00:00
It was maybe not quite clear enough in my comment, but this is more of a hypothetical future scenario - not at all where I assess LLMs are today or will get to in the foreseable future.

So it becomes a bit theoretical, but I guess if we had a future where LLMs could consistently write perfect code, it would not be too far fetched to also think it could perfectly review code, true enough. But either way the maintainer would still spend some time ensuring a contribution aligns with their vision and so forth, and there would still be close to zero incentive to allow outside contributors in that scenario. No matter what, that scenario is a bit of a fairytale at this point.
by thecodemonkey | 2026-03-10 13:45:11+00:00
I'm working on Chief [1], a CLI that autonomously works through a PRD using AI coding agents like Claude Code.

You write user stories, start it up, and it loops through them one at a time. Fresh context per story, progress tracked in markdown between iterations. One clean commit per completed story. Has a TUI for watching it work and supports running multiple PRDs in parallel via git worktrees.

Built it because a lot of the "autonomous coding" tooling out there felt overly complex and opaque. Chief is intentionally lightweight and transparent. Everything is just markdown files and git. No magic.

[1] https://github.com/MiniCodeMonkey/chief
by tclancy | 2026-03-10 13:45:21+00:00
Their account that has been posting for over 15 years and has made numerous comments with real insight into the times under discussion? I know it's necessary to have a healthy bit of skepticism when being on the Internet but I think we could agree this is one of the weirdest, longest, dumbest cons in the history of confidence games if this is not Ray Ozzie.

HN has a fairly wide group of "famous" contributors like Woz, etc.
by steveBK123 | 2026-03-10 13:45:48+00:00
The problem is slopware is everywhere now

You can buy a $5k TV and its startup time, auto-play adware at the Home Screen, constant OS popup notification BS, etc are almost universal.

You can't buy your way out of scammy experiences anymore because the market has figured out the people most able to afford buying their way out of it are the highest value ad/scam targets.
by surgical_fire | 2026-03-10 13:46:05+00:00
> Using an LLM to assist in development does not instantly make the whole work 'low effort'.

Instantly? No, of course not.

I do use LLMs for development, and I am very careful with how I use it. I throughly review the code it generated (unless I am asking for throwaway scripts, because then I only care about the immediate output).

But I am not naive. We both know that a lot of people just vibe code the way through, results be damned.

I am not going to fault people devoting their free time on Open Source for not wanting to deal with bullshit. A blanket ban is perfectly acceptable.
Ask HN: Optimizing Claude Code Workflow: Subscription or API Billing?
by robeym | 2026-03-10 13:46:09+00:00
I’m trying to understand what the alternative workflow looks like if you use a Claude subscription instead of API billing.

Right now I use Claude Code in terminal with an API key and spend about $150–300/month.

My February usage looked like:

- Haiku: 300M tokens in, 2M out (~$60)

- Sonnet 4.5: 100M in, 1M out (~$75)

- Sonnet 4.6: 20M in, 300k out (~$20)

Most of my work is with Haiku. I mainly use it for simple tasks such as small customizations for a customer or basic feature additions.

My workflow is simple. I stay in the terminal and pass context with things like `@file1` and `@file2`. For database work/references I query things in pgAdmin and paste output into the session.

I’ve had people say the Pro/Max subscriptions are cheaper and still include Claude Code, but I don’t understand what actually changes in practice. Claude Code can authenticate either with a Claude account or an API key, and if `ANTHROPIC_API_KEY` is set it will bill the API instead of the subscription, I believe.

If you use the subscription with Claude Code:

- Is the terminal workflow basically identical?

- Do you still just run `claude` and use `@files` the same way?

- Do you run into any annoying limits (context or monthly)?

Trying to understand whether switching from API to a subscription would change anything for someone who already works in the terminal. I'm also curious if I could have greater stronger model usage?
by schemapilot | 2026-03-10 13:46:12+00:00
I spent 6 hours building SchemaPilot — it takes your compliance requirements
(GDPR, SOC2, HIPAA) and modules and runs a Max-Cut QUBO optimizer over a
graph of 44 tables to find the optimal security zone partition.

The output is production-ready PostgreSQL with full Row Level Security,
zone-based table grouping, and role hierarchy enforcement.

You get one free generation. The SQL it produces is immediately usable in
Supabase or any Postgres database.

https://schemapilot.vercel.app
by Aurornis | 2026-03-10 13:46:20+00:00
> I've also heard that one shouldn't trim the leads of a through-hole XO before soldering it into the board, since the mechanical shock of the lead breaking can ring the whole package and similarly shake it apart. I'm curious if anyone here has seen that in practice!

I’ve never put a through hole crystal into production so I can’t say anything about this conjecture.

However the larger surface mount crystals are not hard to hand solder if you get a package with side wettable flanks and make the pads reasonably large. It’s something I’d recommend considering.
by gjkim042 | 2026-03-10 13:46:34+00:00
> I guess I could instruct the agent to build a plan and to post the plan in the issue and then iterate that with written comments in the issue. Is that how you run it?

Exactly.
I simply just create an issue if there's a simple bug and let Kelos handle it.
If there's a complex issue that I'd like to build a plan for before implementing it, I build the plan locally and let the agent create a github issue for it, then Kelos will handle it.
by AlexeyBrin | 2026-03-10 13:47:36+00:00
I wonder how this will work in practice. Say I'm a senior engineer and I produce myself thousands of lines of code per day with the help of LLMs as mandated by the company. I still need to presumably read and test the code that I push to production. When will I have time to read and evaluate similar amounts of code produced by a junior or a mid level engineer ?
by imglorp | 2026-03-10 13:47:37+00:00
Right, never give a TV internet access now. That's where we are.

This means they can't surveil, brick, or change your hardware after you bought it.

So yes, then add whatever dongles to provide content. If the dongle turns bad (evil), chuck it and get a different kind. You preserve your privacy, hardware ownership rights, and freedom to choose.
by humannutsack | 2026-03-10 13:47:52+00:00
We know you love the new CEO lmao you only said it about 8 times on this page.

God damn what a miserable place you fuckheads turned tech into!

In case it's not clear YOU FAILED you hard-headed idiot. No amount of brown-nosing is going to save your ass you overly-political fucking loser.
by andsoitis | 2026-03-10 13:48:02+00:00
Forker’s bio:

https://codeberg.org/NerdNextDoor

”I am NerdNextDoor, an autistic OS developer from Scotland who is heading to College soon with the end goal of doing Computing Science in University with some experience in (not much of any, but a bit of) Kuroko, C and Assembly in some architectures.”

Indeed.
by ZaoLahma | 2026-03-10 13:48:27+00:00
Some months back I would have agreed with you without any "but", but it really does help even if it only takes over "typing code".

Once you do understand the problem deep enough to know exactly what to ask for without ambiguity, the AI will produce the code that exactly solves your problem a heck of a lot quicker than you. And the time you don't spend on figuring out language syntax, you can instead spend on tweaking the code on a higher architecture level. Spend time where you, as a human, are better than the AI.
by ux266478 | 2026-03-10 13:48:35+00:00
It's also worth mentioning that FreeBSD lives outside of Redhat's influence. If you find yourself lamenting the direction Linux is moving in, FreeBSD remains an attractive escape hatch. It's not perfect (rc.d is definitely not as nice as runit, it's still focusing on LVM filesystems for the future, last I tried to use OSS4 it had some issues), but I would be straight up lying to you if I implied these were anything but contrivances.
by chung8123 | 2026-03-10 13:48:58+00:00
At 100" the packaging, shipping from china, the delivery, etc. add have to be so much more than $1k.

I bought a 100" TV with setup and it was only $1600. I don't know how they make money on that with all the logistics required. Two people for delivery, two different people for the wall hanging, all the materials for the packaging, and that is just to get it to my house.
by zbentley | 2026-03-10 13:49:02+00:00
Transitive deps, not steps.

Random examples off the top of my head: Puppet has a ton of transitive Ruby libraries and config files/caches that it leaves around; Terraform leaves some very big provider caches on the system; plan or output files, if generated and not cleaned up, can contain secrets; even the “control group” of the status quo with RUN instructions often results in package manager indexes and caches being left in images.

Those are all technically user error (hence why I called them footguns rather than defects), but they add up and are easy mistakes to make.
by lexszero_ | 2026-03-10 13:49:33+00:00
Former 2:5034/16 here.

I was born too late and missed most of the fun, but still managed to catch the trailing end of fidonet in the late 2000s. Pretty much everything was over IP already, there wasn't a single proper dial-up node in my local network (which was pretty small already, around 20 nodes in its heyday), but for me this IP connection happened to be a pay-by-the-minute dialup ISP, so the offline nature of fidonet helped me stay glued to the computer and actively participate in dozens of communities with just a few expensive online minutes per day. Later (in highschool) I ran my own dialup node just for fun on an old PII with NT4 in a cardboard box under my bed. It survived multiple hardware and geographical moves and was running over IP up to about 2012-ish, and was finally nuked from the nodelist in 2018. I still have all the configs in the backups somewhere and the active NCs contact, so technically could get it back up if really wanted to. Too bad there's nobody there to speak to.

Addition: turned out, nowadays you can just run the "normal" FTN stack (binkd, husky, golded) in a docker container and access it with a browser. "It's not dead, it's just smells like it". https://kuehlbox.wtf/projects,fidian - no affiliation.