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Show HN: Limitbreak – Claude Code switches accounts mid-session on a limit

https://github.com/radu2lupu/limitbreak
1•radulupu•41s ago•0 comments

Bend: A fast language that blocks AI mistakes via proof

https://github.com/bendlang/bend
1•airhangerf15•3m ago•0 comments

Show HN: Runtime-Type-Driven Multiple Dispatch JavaScript Framework – Estructura

https://estructura.okzgn.com/
1•okzgn•7m ago•1 comments

Xenohormesis: Sensing the chemical cues of other species

https://pubmed.ncbi.nlm.nih.gov/18455976/
1•andsoitis•9m ago•0 comments

AI is getting good at math, here's why

https://latent.space/p/ai-is-getting-good-at-math/
1•ankit219•13m ago•0 comments

Securing a DuckDB Server in Production

https://blog.starlake.ai/securing-duckdb-server-in-production
1•dgudkov•14m ago•0 comments

Octopus Pounces on Lasers in Papahānaumokuākea [video]

https://www.youtube.com/watch?v=UV0eBXtiovY
1•gnabgib•16m ago•0 comments

F-Zero X on Nintendo 3DS

https://hypnotize.works/gdx-3ds/postmortem/index.html
3•bpierre•17m ago•1 comments

The New Age of Reading

https://www.newyorker.com/magazine/2026/10/26/james-daunt-profile
1•bryanrasmussen•24m ago•0 comments

Show HN: Classic Mac Glider 4.0 for the web (game port)

https://dbohdan.github.io/glider/
1•networked•25m ago•0 comments

Counting Sand Dunes in the Simpson Desert

https://www.fromtheroad.ford.com/img/en/articles/2026/simpson-desert-ranger-super-duty-counting-d...
1•bryanrasmussen•26m ago•0 comments

Show HN: QuickRust replaces cargo, sets up sccache, centralizes build cache

https://machinefabric.com/quickrust/
1•joeharshamshiri•30m ago•1 comments

Show HN: Classical Latin TTS

https://huggingface.co/coolcoder613/omnivoice-latin-lora-1
1•coolcoder613•39m ago•2 comments

Palo Alto retracts claim of PHP2Shell exploitation at European government agency

https://unit42.paloaltonetworks.com/cve-2026-109618-cve-2026-109619/
3•zahrevsky•54m ago•1 comments

Apollo says AI has delivered 'zero financial payoff' outside the tech industry

https://www.businessinsider.com/apollo-ai-zero-financial-payoff-corporate-america-economic-analys...
15•levzettelin•55m ago•9 comments

Show HN: simdown – use SIMD to parse Markdown at ~1 GB/s

https://github.com/trevorah/simdown
2•trevorah•57m ago•0 comments

Internet Security: We're Doomed

https://www.nationalreview.com/2026/10/were-doomed/
2•DamnInteresting•58m ago•1 comments

What the US Movement Against Data Centers Can Learn from Everywhere Else

https://www.wired.com/story/what-the-us-anti-data-center-movement-can-learn-from-everywhere-else/
1•cdrnsf•1h ago•0 comments

The Busy Beaver Iceberg [video]

https://www.youtube.com/watch?v=kMHCl2PGloQ
1•ks2048•1h ago•0 comments

Tool to easily copy features from one desktop framework to another

https://github.com/androslee/yoinkr
1•aclmakes•1h ago•0 comments

Surprising gender biases in GPT (2024)

https://www.sciencedirect.com/science/article/pii/S2451958824001660
3•mpweiher•1h ago•2 comments

You don't have to build the model to compete in AI

https://www.purifigroup.com/index.html
1•jerondu•1h ago•0 comments

Proton Flock Camera Map

https://proton.me/flock-camera-map
11•cdrnsf•1h ago•0 comments

Raven: Install and run Windows applications on Linux with their own installers

https://useraven.org/
1•thunderbong•1h ago•0 comments

Forget the plague, this is the disease that will kill us all

https://mapwriting.substack.com/p/forget-the-plague-this-is-the-disease
8•kitkut•1h ago•0 comments

Focus: Why Everything Is Not for You

https://leveragethoughts.substack.com/p/everything-is-not-for-you
2•maverickJ•1h ago•1 comments

Why I Built Verto

https://jackdamon.org/blog/why-i-built-verto/
2•jdamon96•1h ago•0 comments

Payload: A super-small game engine that lets you share code via a URL

https://kitao.dev/playload/
1•nogajun•1h ago•0 comments

SIMD-accelerated computer vision on a $2 microcontroller

https://shraiwi.com/blog/simd-fast-esp32s3/
1•zdw•1h ago•0 comments

Why the EU avoids tackling Big Soccer

https://www.politico.eu/article/why-the-eu-avoids-tackling-big-soccer/
3•RickJWagner•1h 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.