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The Unexpected Effectiveness of One-Shot Decompilation with Claude

https://blog.chrislewis.au/the-unexpected-effectiveness-of-one-shot-decompilation-with-claude/
2•knackers•4m ago•1 comments

Bringing Sexy Back. Internet surveillance has killed eroticism

https://lux-magazine.com/article/privacy-eroticism/
3•eustoria•6m ago•0 comments

Matrix Core Programming on AMD CDNA4 Architecture

https://rocm.blogs.amd.com/software-tools-optimization/matrix-cores-cdna/README.html
2•salykova•6m ago•0 comments

Computer Says No:O

1•Pocomon•9m ago•0 comments

Apple and Intel Rumored to Partner on Mac Chips

https://www.macrumors.com/2025/11/28/intel-rumored-to-supply-new-mac-chip/
13•bigyabai•11m ago•0 comments

Who wins when we filter the open web through an opaque system?

https://hidde.blog/filtered-open-web/
1•ChrisArchitect•11m ago•0 comments

Go Proposal: Goroutine Metrics

https://antonz.org/accepted/goroutine-metrics/
3•blenderob•12m ago•0 comments

The Idiot Sandwich – On Embedding Alt Text

https://shkspr.mobi/blog/2025/11/the-idiot-sandwich-on-embedding-alt-text/
1•blenderob•13m ago•0 comments

200 Lines of Python beats $50M supercomputer – Navier-Stokes at Re=10⁸ [pdf]

https://philpapers.org/archive/CAMIIA-3.pdf
2•jcamlin•15m ago•2 comments

Hacker News AI newsletter – weekly round up of the most popular AI links from HN

https://hackernewsai.com
3•alexgotoi•15m ago•3 comments

So you wanna build a local RAG?

https://blog.yakkomajuri.com/blog/local-rag
4•pedriquepacheco•16m ago•0 comments

Happiness research doesn't make you happy

https://www.technotheoria.org/p/happiness-research-doesnt-make-you
1•paulpauper•19m ago•0 comments

Lowtype: Elegant Types in Ruby

https://codeberg.org/Iow/type
6•birdculture•21m ago•1 comments

New version of HugstonOne with Qwen Next 80B support and Memory

https://github.com/Mainframework/HugstonOne/releases/tag/HugstonOne_Enterprise_Edition_with_memory
1•trilogic•21m ago•0 comments

The Neoliberal Era Was Not Pro-Market Enough

https://www.richardhanania.com/p/the-neoliberal-era-was-not-pro-market
2•paulpauper•22m ago•0 comments

Airloom – 3D Flight Tracker

https://objectiveunclear.com/airloom.html
8•azinman2•22m ago•1 comments

Beads_viewer: Keyboard-driven terminal interface for the Beads issue tracker

https://github.com/Dicklesworthstone/beads_viewer
2•latchkey•25m ago•0 comments

Shrinking While Linking

https://www.tweag.io/blog/2025-11-27-shrinking-static-libs/
1•synergy20•26m ago•0 comments

(Digital) Elbows Up

https://pluralistic.net/2025/11/28/disenshittification-nation/
2•hn_acker•28m ago•0 comments

Lobsters Interview

https://susam.net/my-lobsters-interview.html
1•blenderob•29m ago•0 comments

Useful Black Friday dev resources I came across today

https://github.com/greatfrontend/black-friday-cyber-monday-deals
3•demon1421•31m ago•0 comments

Best URL Shortener – super clean / no ads

https://svwt.cc
5•swiftvault•33m ago•1 comments

The Fat-Tailed Sheep on the First Fleet; Australia's First Sheep

https://www.singletonmills.com/sydney-first-sheep.html
4•Y_Y•34m ago•1 comments

Stellantis Is Spamming Owners' Screens with Pop-Up Ads for New Car Discounts

https://www.thedrive.com/news/stellantis-is-spamming-owners-screens-with-pop-up-ads-for-new-car-d...
21•cf100clunk•34m ago•3 comments

True P2P Email on Top of Yggdrasil Network

https://github.com/JB-SelfCompany/Tyr
19•basemi•36m ago•1 comments

Show HN: Bodge.app – μFaaS for hacked-together personal tools and small projects

https://bodge.app/
4•azdle•36m ago•0 comments

Show HN: An AI powered Welcome Note Generator in Go (Moderation and LLM and UI)

https://github.com/vnaveen-mh/welcome-note-generator
2•vnaveen9296•36m ago•0 comments

A complete list of free Black Friday audio plugins and sample packs

https://bedroomproducersblog.com/2025/11/28/black-friday-freebies-2025/
3•kkinbpb•36m ago•3 comments

Dutch chipmaker Nexperia urges Chinese units to help restore supply chain

https://www.reuters.com/world/china/dutch-chipmaker-nexperia-urges-chinese-units-help-restore-sup...
6•ilamont•41m ago•1 comments

Ask HN: How to Differentiate a General Agent from Manus?

6•bingwu1995•41m ago•1 comments
Open in hackernews

Ask HN: LLM is useless without explicit prompt

4•revskill•6mo 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•6mo 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•6mo 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•6mo 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.