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Ask HN: Why does a black line appear on HN sometimes?

1•bheadmaster•4m ago•0 comments

Ask HN: How do you find joy in a world full of depressing news?

2•Razengan•6m ago•1 comments

Gpsjam GPS/GNSS Interference Map

https://gpsjam.org/
1•jonbaer•10m ago•0 comments

The Quantum Curtain

https://www.defenseone.com/ideas/2026/03/quantum-curtain/411967/
2•jonbaer•14m ago•0 comments

Stacksort

https://gkoberger.github.io/stacksort/
1•mihau•15m ago•0 comments

Mesh – remote mobile forensics and network monitoring

https://github.com/BARGHEST-ngo/MESH
1•0x0v1•15m ago•1 comments

MacBook Neo Review: Better Than You Think

https://www.youtube.com/watch?v=iGeXGdYE7UE
1•keepamovin•15m ago•0 comments

Encode/httpx: Closing off access

https://github.com/encode/httpx/discussions/3784
2•luismedel•16m ago•0 comments

A Kubernetes operator that orchestrates AI coding agents

https://medium.com/@bobbydeveaux/we-built-an-ai-that-plans-codes-reviews-and-ships-and-then-we-us...
1•bobbydeveaux•17m ago•1 comments

AI Agent Hacks McKinsey

https://codewall.ai/blog/how-we-hacked-mckinseys-ai-platform
1•mycroft_4221•18m ago•0 comments

Movies I Highly Recommend

https://github.com/ojhaugen15/12_movies
1•programmexxx•20m ago•0 comments

Richard Feynman's story illustrating the problem of p-hacking

https://twitter.com/SwipeWright/status/2031604331510690112
4•MrBuddyCasino•28m ago•0 comments

Glanceway – Collect RSS and custom plugin data in your macOS menu bar

https://glanceway.app
1•codytseng•29m ago•1 comments

Unbash: Fast 0-deps bash parser written in TypeScript

https://github.com/webpro-nl/unbash
1•mariuz•30m ago•0 comments

Ask HN: Is there a market for a security-audited Claude Code skills newsletter?

1•camicortazar•30m ago•0 comments

The Anthropic Institute

https://www.anthropic.com/news/the-anthropic-institute
4•meetpateltech•31m ago•1 comments

Gemini 2 Is the Top Model for Embeddings

https://agentset.ai/blog/gemini-2-embedding
2•tifa2up•35m ago•0 comments

Tutorials in Optomechanics

https://wp.optics.arizona.edu/optomech/tutorials-in-optomechanics/
1•o4c•37m ago•0 comments

A.I. Incites a New Wave of Grieving Parents Fighting for Online Safety

https://www.nytimes.com/2026/03/10/technology/ai-social-media-child-safety-parents.html
3•1vuio0pswjnm7•41m ago•1 comments

The Ig Nobel Prize Ceremony Is Moving to Europe (After 35 Years in the USA)

https://improbable.com/2026/03/10/the-ig-nobel-prize-ceremony-is-moving-to-europe-after-35-years-...
3•layer8•44m ago•0 comments

Some Arabic Words Transliterated

https://docs.google.com/document/d/1RMxjUr2Rki6TLNTNd00BNtBUwB0DJXiE4Dd_YppUi1I/edit
1•programmexxx•46m ago•0 comments

Google to Provide Pentagon with AI Agents

https://www.bloomberg.com/news/articles/2026-03-10/google-to-provide-pentagon-with-ai-agents-for-...
10•1vuio0pswjnm7•47m ago•3 comments

Europe tops global arms imports, SIPRI reports

https://www.dw.com/en/sipri-europe-arms-imports-global-weapons-trade-defense-spending/a-76261906
1•breve•51m ago•0 comments

AI-powered apps struggle with long-term retention, new report shows

https://techcrunch.com/2026/03/10/ai-powered-apps-struggle-with-long-term-retention-new-report-sh...
2•pseudolus•55m ago•0 comments

My app got 3k users in 48 hours and then monetization almost killed it

https://getcalendarly.com
1•DimKat•55m ago•1 comments

PEP 827 – Type Manipulation

https://peps.python.org/pep-0827/
2•EvgeniyZh•55m ago•0 comments

NASA's Van Allen Probe A to re-enter atmosphere

https://phys.org/news/2026-03-nasa-van-allen-probe-atmosphere.html
7•bookmtn•55m ago•0 comments

How age standardization make health metrics comparable

https://ourworldindata.org/age-standardization
1•sohkamyung•57m ago•0 comments

Discovering Little Worlds (2020)

https://dmitrybrant.com/2020/08/01/discovering-little-worlds
2•wonger_•58m ago•0 comments

Ukraine Reaches a Milestone: Making ‘China-Free’ Drones

https://www.nytimes.com/2026/03/11/world/europe/ukraine-drones-china.html
3•giuliomagnifico•58m ago•2 comments
Open in hackernews

Ask HN: LLM is useless without explicit prompt

4•revskill•10mo ago
After months playing with LLM models, here's my observation:

- LLM is basically useless without explicit intent in your prompt.

- LLM failed to correct itself. If it generated bullshits, it's an inifinite loop of generating more bullshits.

The question is, without explicit prompt, could LLM leverage all the best practices to provide maintainable code without me instruct it at least ?

Comments

ben_w•10mo ago
Your expectations are way too high.

> - LLM is basically useless without explicit intent in your prompt.

You can say the same about every dev I've worked with, including myself. This is literally why humans have meetings rather than all of us diving in to whatever we're self-motivated to do.

What does differ is time-scales of the feedback loop with the management:

Humans meetings are daily to weekly.

According to recent research*, the state-of-the-art models are only 50% accurate at tasks that would take a human expert an hour, or 80% accurate at tasks that would take a human expert 10 minutes.

Even if the currently observed trend of increasing time horizons holds, we're 21 months from having an AI where every other daily standup is "ugh, no, you got it wrong", and just over 5 years from them being able to manage a 2-week sprint with an 80% chance of success (in the absence of continuous feedback).

Even that isn't really enough for them to properly "leverage all the best practices to provide maintainable code", as archiecture and maintainability are longer horizon tasks than 2-week sprints.

* https://youtu.be/evSFeqTZdqs?si=QIzIjB6hotJ0FgHm

revskill•10mo ago
It's not as high as you think.

LLM failed at the most basic things related to maintainable code. Its code is basicaly a hackery mess without any structure at all.

It's my expectation is that, at least, some kind of maintainable code is generated from what's it's learnt.

ben_w•10mo ago
Given your expectation:

> It's my expectation is that, at least, some kind of maintainable code is generated from what's it's learnt.

And your observation:

> LLM failed at the most basic things related to maintainable code. Its code is basicaly a hackery mess without any structure at all.

QED, *your expectations* are way too high.

They can't do that yet.