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TransformKit

https://transform-kit.com
2•andrevenancio•12m ago•0 comments

Effects of the New $100k Fee and Wage-Weighted Lottery on the H-1B Visa

https://budgetmodel.wharton.upenn.edu/p/2026-08-03-effects-of-the-new-100000-fee-and-wage-weighte...
2•fzliu•13m ago•1 comments

Hot Set: Shooting Heat

https://theasc.com/article/hot-set-shooting-heat/
1•handfuloflight•17m ago•0 comments

Relative Velocity and Closing Speed

https://eli.thegreenplace.net/2026/relative-velocity-and-closing-speed/
1•mfrw•17m ago•0 comments

TerminalWidget Put Terminal Output on Your Desktop

https://terminalwidget.app/
1•colinprince•20m ago•0 comments

What should go in your Claude.md?

https://zander.wtf/blog/claude-md-agents-md/
2•mrmartineau•21m ago•1 comments

GeoAI: Artificial Intelligence for Geospatial Data

https://opengeoai.org/
1•jonbaer•23m ago•0 comments

Do Context Files Help Coding Agents? A Two-Agent Ablation Study on Real Repos

https://arxiv.org/abs/2607.27250
1•jamesblonde•24m ago•0 comments

Show HN: Local semantic code search that saves your agent tokens

https://tryreference.com/
1•RahulThennarasu•30m ago•0 comments

AI-assisted staging draws boos at the Richard Wagner festival in Germany

https://apnews.com/article/germany-bayreuth-wagner-festival-ai-f4300cdc0be195dabdadfa6d2ab4254c
2•rawgabbit•36m ago•0 comments

Headlights got brighter, whiter, and more blinding after dark

https://arstechnica.com/cars/2026/08/how-headlights-got-brighter-whiter-and-more-blinding-after-d...
2•mdp2021•36m ago•0 comments

Why is open source software so badly designed? (2022)

https://www.kooslooijesteijn.net/blog/why-is-free-open-source-software-badly-designed
1•doubletwoyou•41m ago•1 comments

Night Java (San Francisco)

https://www.nightjava.com/
1•danielmorozoff•43m ago•0 comments

Show HN: Paloma – Intelligent Autocomplete for Mac

https://trypaloma.app
1•hydrohelium•44m ago•0 comments

Inside the grey market for online accounts

https://www.ft.com/content/576c1b70-bf51-45d2-a5f0-eca2e9acc256
1•petethomas•45m ago•0 comments

Niche expert AI fine-tuning data set in clean JSON format

https://headwater.gumroad.com/l/jxvjh
1•PunkiePal•46m ago•0 comments

SWE-Touch: Benchmarking Coding Agents When Users Touch the Code

https://trae1oung.github.io/SWE-Touch/
1•in-silico•46m ago•0 comments

Context Compaction Theory

https://arxiv.org/abs/2608.01326
1•jadidbourbaki•49m ago•0 comments

The Youth AI Privacy Act's Privacy Paradox

https://www.eff.org/deeplinks/2026/08/youth-ai-privacy-acts-privacy-paradox
1•mdp2021•50m ago•0 comments

Tattoo the Earth, one pixel at a time

https://earth.tattoo/
2•whatsupdog•57m ago•0 comments

Did Iran hack water systems in seven US states?

https://www.bbc.com/news/articles/c934dq95zpgo
1•dabinat•1h ago•0 comments

As a Windows user, it's a surreal way to install a program

https://unsung.aresluna.org/as-a-windows-user-its-a-very-surreal-way-to-install-a-program/
2•allenc•1h ago•1 comments

The 11 Types of Washington, DC, Metro Station Architecture (2018)

https://ggwash.org/view/68565/metro-has-11-types-of-station-architecture.-learn-them-all-with-thi...
3•quuxplusone•1h ago•0 comments

Show HN: Benzi – An AI coding assistant grounded in a live code map

https://benzi.fly.dev/
1•showhz•1h ago•0 comments

Spherical Codes Application in Fiber Optics (2024)

https://arxiv.org/abs/2404.04776
1•silver92bullet•1h ago•0 comments

The AI Boom Is Transforming the American Economy Beyond Recognition

https://www.wsj.com/economy/the-ai-boom-is-transforming-the-american-economy-beyond-recognition-c...
3•mapping365•1h ago•2 comments

At least we're warming the planet for a good reason

https://old.reddit.com/r/codex/comments/1vev2fl/vibecoded_ios_app_reached_35k_loc_and_i_no_longer/
2•johnnyApplePRNG•1h ago•2 comments

Real-time LuaTeX: Recompiling large documents in 1ms [video]

https://www.youtube.com/watch?v=C1gpjPm-Rns
3•eigenblake•1h ago•0 comments

Lego deploys Hubble Space Telescope as detailed desktop model

https://www.collectspace.com/news/news-080226a-lego-icons-hubble-space-telescope-details.html
1•Tomte•1h ago•1 comments

Startup Marketing 101

https://skeptrune.substack.com/p/startup-marketing-101
1•iacguy•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.