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Pair Prompt and Agentic Interview

https://liveshortly.com
1•malviyamukul•9m ago•0 comments

Show HN: Monkeytype for Developers

https://osdtype-w5vr-six.vercel.app/play
1•itsarnavsh•9m ago•0 comments

Show HN: Whyline – Git native decision history for coding agents

https://github.com/anishmoncivarghese/whyline
1•anishvarghese•10m ago•0 comments

Two companies raised three in every ten venture dollars

https://datahyena.com/research/two-companies-raised-three-in-ten-venture-dollars/
1•ghostfoxgod•10m ago•0 comments

Red Alert 2 Yuri's Revenge decompilation – rebuilding the lost source code

https://www.reddit.com/r/redalert2/comments/1xaep2v/ra2yr_decompilation_rebuilding_the_lost_source/
1•nomilk•13m ago•0 comments

Show HN: RetroBrag – remix Snake, Pong and Breakout by describing the change

https://www.retrobrag.com
1•likaiwei•15m ago•0 comments

That AI Temptation

https://www.tbray.org/ongoing/When/202x/2026/10/19/The-AI-Temptation
1•robin_reala•17m ago•0 comments

The attack chain behind the v1.107.0 LiteLLM release

https://docs.litellm.ai/blog/security-incident-oct-21-2026-attack-chain
1•feross•22m ago•0 comments

The Acceleration Paradox

https://medium.com/@smoking2man/the-acceleration-paradox-why-local-ai-driven-productivity-gains-f...
1•Aldus551•23m ago•0 comments

Abstract Code Art Animation – Evolution from Ones and Zeros to Neural Networks [video]

https://www.youtube.com/watch?v=-dTvmVUWY0o
1•jussehoo•29m ago•0 comments

California has more revenue than expected thanks to AI. Should it save it?

https://calmatters.org/politics/2026/10/california-proposition-2-explained/
2•MilnerRoute•30m ago•0 comments

The Fall of Scientific American

https://www.thenation.com/article/society/scientific-american-springer-nature-trump/
3•littlexsparkee•33m ago•0 comments

The Failed "Hostage Theory" of Nikole Hannah-Jones

https://news.educationprogress.org/p/the-failed-hostage-theory-of-nikole
1•Tomte•35m ago•0 comments

Teaching Paradox: Hearts of Iron IV, Part IVa: The Fires of Industry

https://acoup.blog/2026/10/23/teaching-paradox-hearts-of-iron-iv-part-iva-the-fires-of-industry/
1•Tomte•35m ago•0 comments

Show HN: Let your AI agent put things on a screen

https://console.usetd.com/
1•linxy97•37m ago•0 comments

The Dictatorship Eval

https://www.dictatoreval.org/
1•enjoyyourlife•41m ago•0 comments

Malanthropomorphism

https://lincoln.swaine-moore.is/writing-about/malanthropomorphism
1•lswainemoore•42m ago•0 comments

Hacker reverses Samsung TV, finds on-board AI listening OpenAI account suspended

https://www.reddit.com/r/antiai/comments/1xdv3e5/hacker_reverse_engineers_his_samsung_tv_and_finds/
3•testing22321•46m ago•0 comments

Show HN: Code Counter Machine a modern analysis of AI driven development costs

https://github.com/insanai/ccm
1•vikrantrathore•49m ago•0 comments

Memory is slow, Disk is fast – Part 3

https://www.bitflux.ai/blog/memory-is-slow-part3/
1•dverlaeckt80•50m ago•0 comments

Real-time streaming with IBM StreamSets

https://www.ibm.com/products/streamsets
1•teleforce•52m ago•0 comments

Show HN: Latch – Make any website usable by AI agents in one line (WebMCP)

https://latch.tools/
1•r0bertini•54m ago•1 comments

Unspoken rules of Japanese body language

https://www.bbc.com/travel/article/20261022-six-gestures-to-learn-before-travelling-to-japan
3•tosh•56m ago•1 comments

Show HN: Pilely – Build and ship web apps within your AI chat

https://pilely.ai/
2•pcpliu•1h ago•0 comments

Advertisers Pull Meta Ads That Had Unwanted AI Glow-Ups

https://www.adweek.com/media/advertisers-pull-meta-ads-that-had-unwanted-ai-glow-ups/
4•thm•1h ago•0 comments

US has for years asked Musk to alter Starlink service in Ukraine, Middle East

https://www.reuters.com/business/autos-transportation/us-has-years-asked-musk-alter-starlink-serv...
5•JumpCrisscross•1h ago•0 comments

Show HN: Xet Server – Host your own models anywhere

https://github.com/guilt/xet-server
2•vkaku•1h ago•0 comments

AWS Continuum for code vulnerabilities is now generally available

https://aws.amazon.com/blogs/aws/aws-continuum-for-code-vulnerabilities-is-now-generally-available/
3•taubek•1h ago•0 comments

LibreSSL 4.4 Released with Faster SHA3, Bug Fixes

https://www.phoronix.com/news/LibreSSL-4.4-Released
2•ksec•1h ago•1 comments

Volkswagen's best-seller has gone electric, will replace the ID.4 and ID.5

https://electrek.co/2026/10/09/volkswagens-best-seller-goes-ev-replace-id-4-images/
4•geox•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.