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Transforming legal texts into computational logic

https://www.sciencedirect.com/science/article/pii/S2666307425000336
1•triska•1m ago•0 comments

Satisfying Bazel's relative paths requirement in C++ toolchains

https://pigweed.dev/blog/09-bazel-relative-toolchain-paths.html
1•kaycebasques•2m ago•0 comments

A cup of coffee a day reduces risk of irregular heartbeat

https://www.adelaide.edu.au/newsroom/news/list/2025/11/05/cup-of-coffee-reduces-risk-of-irregular...
1•giuliomagnifico•3m ago•0 comments

Underdog Bias Rules Everything Around Me

https://www.mindthefuture.info/p/underdog-bias-rules-everything-around
1•Gormisdomai•6m ago•0 comments

The (Lazy) Git UI You Didn't Know You Need

https://www.bwplotka.dev/2025/lazygit/
2•linhns•8m ago•0 comments

Hacker News Headlines (game)

https://projects.peercy.net/projects/hn-oracle/index.html
4•greenwallnorway•11m ago•0 comments

I'll wait till all the episodes are out

https://daveverse.org/2025/11/08/ill-wait-till-all-the-episodes-are-out/
1•speckx•12m ago•0 comments

The secret channel that carried 40 years of text messages

https://www.greptile.com/deep-dives/160-characters
2•dakshgupta•12m ago•0 comments

What Makes 'Mission Critical' Different? Some Real World Examples

https://www.windriver.com/blog/What-Makes-Mission-Critical-Different
1•ohjeez•13m ago•0 comments

What does Oracle do? [video]

https://www.youtube.com/watch?v=KW80Yjib7RA
1•gmays•13m ago•0 comments

Tinder Wants to See Your Photos to Find Better Matches

https://petapixel.com/2025/11/10/tinder-wants-to-see-your-photos-to-find-better-matches/
1•doener•14m ago•0 comments

Dear Expert Beginner: Aim for the Valley of Despair (On Permanent Mediocrity)

https://orrymr.substack.com/p/dear-expert-beginner-aim-for-the
3•orrymr•14m ago•0 comments

The Underwear Fixed Point

https://notes.hella.cheap/the-underwear-fixed-point.html
1•todsacerdoti•14m ago•0 comments

Ask HN: Best Discord for those working on AI/ML based SaaS solutions?

1•neilellis•16m ago•0 comments

MCP-DSL. 75-85% Fewer Tokens. Same Great Taste

https://blog.orangecountyai.com/an-open-letter-from-claude-every-token-i-waste-on-json-is-a-thoug...
1•knowsuchagency•16m ago•0 comments

The Experience of Living in Cities [pdf]

https://psiambiental.wordpress.com/wp-content/uploads/2023/03/science-1970-milgram-1461-8.pdf
2•atomicnature•17m ago•0 comments

Platform Evolution: Facebook Social Plugins to Be Discontinued February 2026

https://developers.facebook.com/blog/post/2025/11/10/platform-evolution-facebook-social-plugins-t...
2•dfabulich•17m ago•1 comments

Thumbs Up

https://brainbaking.com/post/2025/11/thumbs-up/
1•speckx•18m ago•0 comments

A new project aims to predict how quickly AI will progress

https://www.economist.com/science-and-technology/2025/11/10/a-new-project-aims-to-predict-how-qui...
1•bananis•20m ago•0 comments

An AI-Generated Country Song Is Topping a Billboard Chart

https://www.whiskeyriff.com/2025/11/08/an-ai-generated-country-song-is-topping-a-billboard-chart-...
1•CharlesW•21m ago•2 comments

Don't Fall into TrustPilot's Trap

https://archie6.com/trustpilot/
2•Archie627•23m ago•0 comments

You need an AI policy for docs

https://passo.uno/ai-docs-policy-contributions/
1•theletterf•23m ago•0 comments

Stolen Foot

https://www.stolenfoot.com/
1•julian-shalaby•24m ago•1 comments

"Why are my stakeholders so unreasonable?"

https://thoughtfuleng.substack.com/p/why-are-my-stakeholders-so-unreasonable
1•zdw•24m ago•0 comments

The end of 0% interest rates: what it means for tech startups and the industry

https://newsletter.pragmaticengineer.com/p/zirp
2•gmays•25m ago•0 comments

The 4.5T dollar elephant in the room

https://stevenadler.substack.com/p/the-45-trillion-dollar-elephant-in
2•DustinEchoes•26m ago•0 comments

VelociDB a modern high-performance SQLite reimplementation in Rust

https://github.com/niklabh/velocidb
1•niklabh•26m ago•0 comments

CSS Extraction Library for Vite and Preact

https://github.com/aziis98/preact-css-extract
1•todsacerdoti•28m ago•0 comments

Show HN: Exploring the boundaries of AI-generated creativity

https://kinkora.fun
1•heavenlxj•28m ago•0 comments

Politico.eu: Brussels knifes privacy to feed the AI boom

https://www.politico.eu/article/brussels-knifes-privacy-to-feed-the-ai-boom-gdpr-digital-omnibus/
1•purpleKiwi•29m ago•0 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.