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Moving Forward from Hot Fable Summer

https://alexstamos.com/p/moving-forward-from-hot-fable-summer
1•ramimac•1m ago•0 comments

Bramble – a local-first password manager now on iOS and Firefox

https://bramble.sh/blog/one-month-on
1•MegagramEnjoyer•1m ago•0 comments

Why do NOIRLab, Gaia DR3, and AllWISE pipelines simultaneously fail at one node?

https://astronomy.stackexchange.com/questions/62503/real-data-vs-pipeline-failure-why-do-noirlab-...
1•DRLogvinovich•5m ago•0 comments

Ask HN: Has AI accelerated Rust adoption?

1•rafaepta•6m ago•0 comments

An Elm Primer for React Developers [pdf]

https://leanpub.com/elm-for-react-devs
1•cekrem•6m ago•0 comments

Astronomical pipelines return trillion-level error rates at coordinate node

https://astronomy.stackexchange.com/questions/62520/anomalous-pipeline-outputs-across-5-independe...
2•DRLogvinovich•7m ago•0 comments

Killing Complexity Before Complexity Kills Growth

https://www.bain.com/insights/killing-complexity-before-complexity-kills-growth/
2•andrewstetsenko•10m ago•0 comments

Show HN

https://hunjo.app/login?redirect=%2F
1•yogesh_bagariya•10m ago•0 comments

Tailscale Mitigates the Lethal Trifecta

https://tailscale.com/blog/aperture-lethal-trifecta
2•yruzin•10m ago•0 comments

Show HN: Which devtools win when LLMs plan real web apps

https://preseason.ai
1•thedreammachine•11m ago•0 comments

Tail-Call Interpreters in Rust – Jimmy Ostler

https://lordgoati.us/blog/tail-call/
1•amatheus•11m ago•0 comments

What are the most overhyped trends in AI?

1•Harish_0089•11m ago•0 comments

Alexa+ Is a Buggy Embarrassment

https://pogueman.substack.com/p/alexa-is-a-buggy-embarrassment
1•prakashqwerty•14m ago•0 comments

How Does AI Interpret Consent: A Look Inside Claude Code's Safety Classifier

https://www.highflame.com/blog/the-44kb-of-claude-codes-rulebook-you-cant-print/
2•grumblemumble•16m ago•1 comments

A simple idea for a new web

https://github.com/confidencenode/Trusteando_Protocol/tree/main/docs
1•Trusteando•19m ago•0 comments

Show HN: We map free text to NEO PI-R personality facets

https://sentino.org/blog/personality-api/the-science-behind-every-sentino-score/
2•Sentino_Psy_API•22m ago•0 comments

AI Brain Fry Is Real, and Devs Are Fighting Back – What's Up Devs? #8

https://wud.happyto.dev/p/what-s-up-devs-8-ai-brain-fry-is-real-and-devs-are-fighting-back
1•happytodev•23m ago•0 comments

Original iPhone Loses Its Last Cellular Network as T-Mobile Kills 2G

https://www.macrumors.com/2026/08/06/t-mobile-2g-network-disabled/
2•thm•24m ago•0 comments

Ask HN: What is a good advice for someone looking to fractional hire a team?

3•vanessa1211•28m ago•0 comments

Heatwave forces power plant shutdowns across Europe, putting grid under strain

https://www.lemonde.fr/en/economy/article/2026/08/07/heatwave-forces-power-plant-shutdowns-across...
2•geox•32m ago•0 comments

Slackrastination (2018)

https://www.lepekhin.com/2018/07/30/Slack-rant
1•bizzz•32m ago•0 comments

Show HN: Akintu – AI agents trained on custom knowledge bases using RAG

https://akintu.ai
1•Sharanxxxx•33m ago•0 comments

Design Systems in the Age of AI: Five Working Hypotheses

https://uxdesignresearch.org/en/5-hypotheses/
2•agilek•33m ago•0 comments

A Chrome extension that magically autofills job applications from your CV

https://chromewebstore.google.com/detail/resume-autofill-for-job-a/hianlncojnfigojgoaooegapjphndgaa
1•javier_yc_new•33m ago•1 comments

Re-rasterization-free variable font morphing (knot-lattice blend)

https://github.com/GitBruno/VarFont
1•ChaosBender•33m ago•0 comments

The Witch of Agnesi

https://en.wikipedia.org/wiki/Witch_of_Agnesi
1•monarchkumar•34m ago•0 comments

1 mL of the mass killing of an ethnic group

https://twitter.com/addictedtoigno1/status/2085343928778133875
1•delichon•37m ago•0 comments

Basilisk has been removed from the Python typing conformance leaderboard

https://github.com/python/typing/pull/2330
3•pythontyper•40m ago•2 comments

Tryall –- describe the task, and it picks the AI model for you

https://www.tryall.ai
2•nikvaklinov•41m ago•0 comments

Show HN: Cleaner speaker identification for in-person meeting transcripts

https://apps.apple.com/us/app/ellis-in-person-ai-notes/id6753657763
1•robinyapockets•42m 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.