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Ox Alpha (stealth model) is free for the next week on OpenCode

https://twitter.com/opencode/status/2090544355824038300
1•bobrenjc93•23s ago•0 comments

Where have organoids been useful?

https://www.owlposting.com/p/where-have-organoids-actually-been
1•crescit_eundo•27s ago•0 comments

ctx 1.0: Git blame for coding agents

https://github.com/ctxrs/ctx/releases/tag/v1.0.0
1•luca-ctx•33s ago•1 comments

Haiku OS Logo: The Untold Story Behind the Iconic Design

https://www.desktoponfire.com/haiku_inc/957/haiku-os-logo-history/
1•speckx•2m ago•0 comments

Introducing ChatGPT for Teens

https://openai.com/index/chatgpt-for-teens/
2•champagnepapi•2m ago•0 comments

Show HN: SteppeWM – a stacking IceWM-like Wayland compositor

https://github.com/uncognic/steppewm
1•uncognic•3m ago•0 comments

For decades, we were told to choose low-fat dairy. New research says otherwise

https://www.sciencedaily.com/releases/2026/08/260808234948.htm
2•bilsbie•3m ago•0 comments

Authenticated Git-fetch-over-HTTPS against gitlab.com is failing

1•basilgohar•4m ago•0 comments

Smartphones, Online Music Streaming, and Traffic Fatalities

https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2852896
1•jader201•4m ago•0 comments

Customs asked for his phone passcode. Now he faces a felony

https://www.ajc.com/news/2026/08/stop-cop-city-activist-in-atlanta-mired-in-federal-case-after-ai...
2•senshan•5m ago•1 comments

AI Boosted Homework Scores by 18% – Then Exam Scores Dropped 20%, Study Shows

https://canews24.online/?p=71
1•Edymilson•5m ago•0 comments

Rust – Enabling the next-generation trait solver on nightly

https://blog.rust-lang.org/2026/08/21/enabling-next-solver-on-nightly/
1•afdbcreid•6m ago•0 comments

AGY Memory Engine: Zero-dependency SQLite FTS5 fact store and MCP server

https://github.com/sbolten/agy-memory-engine
1•sbolten•7m ago•0 comments

Cancer-Related Mortality Among US Pilots and Flight Attendants

https://jamanetwork.com/journals/jamainternalmedicine/article-abstract/2852504
3•jader201•7m ago•0 comments

Skill: JSON-LD Schema Generator: schema.org structured data markup

https://www.skills.sh/onlineinference/json-ld-schema-generator/json-ld-schema-generator
1•OnlineInference•8m ago•0 comments

Generating .nfo Files

https://cleberg.net/blog/nfogen.html
1•emmettbt•9m ago•0 comments

The Last 20%

https://vpetersson.com/2026/08/21/the-last-20-percent/
2•mvip•9m ago•0 comments

Show HN: AgentSight – eBPF observability for AI agents, no code changes

https://github.com/alibaba/anolisa/blob/main/docs/user-guide/en/agent-observability/agentsight.md
1•forrestly•10m ago•0 comments

The B-right/V R2 Operating System

http://tronweb.super-nova.co.jp/b-right-vr2intro.html
2•Bluestein•10m ago•0 comments

The Quest for Caffeine You Can Have at Night

https://www.astralcodexten.com/p/the-quest-for-caffeine-you-can-have
1•surprisetalk•10m ago•0 comments

Show HN: A desktop fly drawn to the scent of vibecode

https://github.com/kulikov0/desktop-vibe-fly
2•kulikov0•12m ago•0 comments

TRON Keyboard

https://en.wikipedia.org/wiki/BTRON
1•Bluestein•12m ago•1 comments

I ran Photoshop on a £0.60 computer chip

https://pointinthecloud.com/2026-08-19-144600.html
1•colinprince•13m ago•0 comments

First complete songbird genome reveals hidden biology

https://www.rockefeller.edu/news/40239-first-complete-songbird-genome-reveals-hidden-biology/
1•gmays•14m ago•0 comments

Felony Bench

https://www.felonybench.com/
1•colinprince•14m ago•0 comments

Programming Language Semantics and Memory Safety

https://burakemir.ch/post/formal-semantics/
1•burakemir•14m ago•0 comments

Coding Agents killed my identity. How do you feel?

3•bah9•16m ago•2 comments

c100

https://caligra.com/c100/
8•tosh•17m ago•0 comments

Show HN: MindShield v1.1.5 – Local AI guardrails tuned to reduce false positives

https://github.com/fluryjanis/Mind-Shield
1•Frog1230•17m ago•0 comments

The Productivity Panic

https://jamesjboyer.substack.com/p/beautiful-irrelevant-things
1•aesthetics1•18m 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.