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Vrayas and Co. – Bespoke Iced-Out Jewellery, Made to Order

https://vrayasandco.com/
1•VrayasMehra•6m ago•0 comments

How do you measure whether your coding agent is becoming more effective?

1•manytimesfail•11m ago•0 comments

Ask HN: Has Fable begun to autocorrect itself inline in its responses for you?

1•cromka•16m ago•1 comments

Threads, Mutexes, and Atomics: Start with What Can Go Wrong

https://www.tedkoomen.com/blog/engineering/threads-mutexes-and-atomics/
1•eigenBasis•16m ago•0 comments

That's why your GH green wall/graph is no longer green on halloween

https://github.com/orgs/community/discussions/178487
1•paaloeye•19m ago•1 comments

Do Defenders Still Matter?

https://www.ac3.com.au/resources/ai-is-prolific-do-defenders-still-matter
1•lidder86•19m ago•1 comments

I don't think AGI is right around the corner (2025)

https://www.dwarkesh.com/p/timelines-june-2025
3•droidjj•20m ago•1 comments

Download YouTube Videos, Playlists and Channels Easily with Python Copy

https://github.com/pH-7/Download-Simply-Videos-From-YouTube
2•jacksons3•23m ago•0 comments

I built autonomous navigation SDKs for drones and UGVs from scratch

https://www.vishwagw.me/
1•vishwagw98•29m ago•0 comments

Show HN: Send to dot–share a phone photo into your existing ChatGPT conversation

https://github.com/bryanzk/send-to-dot
1•bryanzk•38m ago•0 comments

Reimagining the Internet 42. Maciej Ceglowski, Pinboard (2021) [video]

https://www.youtube.com/watch?v=OTPqaPLEd8E
1•kome•39m ago•0 comments

Qntm – end to end encrypted messaging for agents and humans

https://qntm.corpo.llc/launch/
1•vessenes•41m ago•0 comments

Subvocal guys just made a worse clone of a Cornell lab's research from 2023

https://twitter.com/AarushYadav47/status/2116198463847408066
1•unfortunatelynu•42m ago•0 comments

The Harness and Memory Architecture Behind Self-Updating Docs

https://www.mintlify.com/blog/harness-and-memory-architecture-behind-self-updating-docs
2•hanyiwang•43m ago•0 comments

Postgres 19 is late, and it's AI's fault

http://rhaas.blogspot.com/2026/10/postgres-19-is-late-and-its-ais-fault.html
4•soheilpro•46m ago•1 comments

Making it easier for websites to express AI training preferences

https://openai.com/index/helping-websites-express-ai-training-preferences/
2•soheilpro•48m ago•1 comments

Supabase Compute

https://supabase.com/blog/supabase-compute-private-alpha
2•dotmanish•48m ago•0 comments

Show HN: Ghost in the Log – a Halloween log investigation with a live AI

https://ghost-in-the-log.vercel.app/
1•moruku36•49m ago•0 comments

Anthropomorphize AI, but first learn what 'AI wants' means

https://blog.kolen.dev/LLM/want
1•KolenCh•53m ago•0 comments

Rewriting Copyright Law for Generative AI Would Hurt Everyone

https://www.eff.org/deeplinks/2026/10/rewriting-copyright-law-generative-ai-would-hurt-everyone
3•ilreb•59m ago•1 comments

Patching APKs: Smali, DEX, Rebuild, and Resigning

https://www.yourdev.net/blog.php?post=patching-apks-smali-dex-rebuild-and-signing
1•noppers•59m ago•1 comments

Stephen Wolfram's new philosophy book: What Ultimately Is There?

https://www.amazon.com/dp/1579551017
2•alok-g•1h ago•0 comments

Google's $500B bloodbath reflects the danger it faces from AI

https://www.economist.com/business/2026/10/29/googles-500bn-bloodbath-reflects-the-danger-it-face...
4•axiomdata316•1h ago•2 comments

The Importance of the Word "Cultivation"

https://johnoestmannmusic.com/the-importance-of-the-word-cultivation/
1•soundworlds•1h ago•0 comments

PFsense at 20. Plus and CE unified. Offline upgrades free.

https://www.netgate.com/blog/pfsense-at-20
4•djfergus•1h ago•2 comments

Show HN: Turn any GitHub account into a living city

https://caldera.social/gh
1•mjonesone•1h ago•2 comments

Cubo Search Engine – Agentic Search Engine Built for the Agentic Era

https://www.mycubo.site/
1•Albert78•1h ago•0 comments

Lifestreams' summarize operation, 30 years later

https://gist.github.com/yibie/d21d1ad945a11143731aea3c7ef5e7d6
1•oliverchan2024•1h ago•0 comments

Tell HN: X is opening any tweet link in a webview whether you press it or not

8•stillatit•1h ago•1 comments

Alex Honnold Interviews Astronaut Christina Koch [video]

https://www.youtube.com/watch?v=d3Yl1ssqXEM
1•consumer451•1h ago•1 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.