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Project Blueprint

https://svangel.com/blueprint
1•tosh•3m ago•0 comments

Show HN: Backtotal – the total is given, work back to the four digits

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1•Dogs2478•3m ago•0 comments

Show HN: Shortcut Express – My attempt to get the world using keyboard shortcuts

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1•motomac•4m ago•0 comments

Wales, Scotland and Northern Ireland now all have nationalist first ministers

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1•sashazykov•5m ago•0 comments

RAG Might Be Lying to You

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A "slowdown" might improve OpenAI and Anthropic products

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A Beginning for Mathematics

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WMail: Native iPhone Fastmail/JMAP Client

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China's Regulators Take Aim at "AI Boyfriends"

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Beijing hits back at Anthropic CEO's call to curb China's AI development

https://apnews.com/article/china-anthropic-ai-us-amodei-3da458d2c078da3e60900728d59f1ae8
2•djoldman•11m ago•0 comments

National Security Agency launches historic restructuring

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1•yablak•12m ago•0 comments

Qwen Audio Agent – full duplex via ACP

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Principles for Fast Tokio Applications

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3•carllerche•12m ago•0 comments

TikTok and Google got information about doctor's appointments around the world

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1•DeepLogin•12m ago•0 comments

Foundation Model Engineering: From Theory to Production

https://sungeuns.github.io/foundation-model-engineering/
3•sungeuns•12m ago•0 comments

Not Regulating AI Is Still a Regulatory Choice

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The Memory That AI Agents Love

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1•supportm•15m ago•0 comments

Are Flies Beat Saber?

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1•pminimax•18m ago•0 comments

Fossilized 10k-year-old Mastodon tooth found by California scientist

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2•gmays•18m ago•0 comments

Suyu – a Nintendo Switch emulator and AArch64 native recompiler written in C++

https://github.com/suyu-emu/suyu-v0.0.4
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Erythema Ab Igne

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1•pvaldes•19m ago•0 comments

Show HN: GSE Cleaner – In-browser streaming parser for large GEO datasets

https://byqing.com/gse/
1•niqing•21m ago•0 comments

Transitions.dev: UI transitions for AI agents

https://transitions.dev/
2•eustoria•21m ago•0 comments

Things That Annoy Me About Cars

https://blog.decryption.net.au/posts/cars_suck.html
2•eustoria•22m ago•0 comments

China Rejects AI 'Fearmongering' After Amodei Urges Slowdown

https://www.bloomberg.com/news/articles/2026-09-14/china-rejects-ai-fearmongering-after-amodei-ur...
4•larrysalibra•23m ago•0 comments
Open in hackernews

Ask HN: LLM is useless without explicit prompt

4•revskill•1y 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•1y 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•1y 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•1y 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.