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Show HN: Phoenix, a Topology Optimisation Engine

https://github.com/dapsvi/phoenix
1•dapsvi•50s ago•0 comments

Demystifying NVSHMEM: System-Level: Symmetric Memory, Device-Initiated Ops

https://arxiv.org/abs/2606.05951
1•matt_d•2m ago•0 comments

Show HN: An Indian exam photo resizer built with Rust and WASM

https://resizer.exammint.in/
1•x6sony•10m ago•0 comments

Show HN: Iris – pure-Swift ARM64 disassembler with a semantic layer

https://github.com/mi11ione/iris
1•mi11ion•13m ago•0 comments

Enumerating Ill-Typed Programs for Testing Type Analyzers

https://dl.acm.org/doi/pdf/10.1145/3808320
1•matt_d•13m ago•0 comments

Cursor trails of people currently browsing the web

https://wewere.online/
1•ohjeez•15m ago•0 comments

Show HN: I built a news app that shows you the top stories of the day

https://play.google.com/store/apps/details?id=com.quicknews.mobile&hl=en_US
2•Bobby791•17m ago•0 comments

Show HN: Browse obscure Wikipedia articles that became popular on Hacker News

https://www.orangecrumbs.com/
1•oyster143•21m ago•0 comments

Preliminary Analysis of AUR Malware

https://ioctl.fail/preliminary-analysis-of-aur-malware/
1•thewebguyd•21m ago•1 comments

Financial Model in Python – Tootsie Roll

https://github.com/Orcaset/orcaset-py/tree/main/examples/tr
1•jrdnocs•21m ago•0 comments

Route public traffic to private applications with Cloudflare

https://blog.cloudflare.com/private-origins-dns-routing/
2•Spunkie•23m ago•1 comments

Deep learning four decades of human migration

https://www.nature.com/articles/s41586-026-10611-7
1•NoRagrets•24m ago•0 comments

Polars GPU Engine

https://docs.rapids.ai/api/cudf/stable/cudf_polars/
1•jonbaer•25m ago•0 comments

Music Understanding Framework

https://developer.apple.com/documentation/MusicUnderstanding
1•hmokiguess•25m ago•0 comments

Hacking Google with A.I. For $500k

https://brutecat.com/articles/hacking-google-with-ai/
1•llui85•25m ago•0 comments

Is Rullst the best Rust Full-Stack Framework nowadays? I think it is

https://rullst.github.io/Rullst/
1•venelouis•27m ago•1 comments

Ask HN: Top Energy Startup Accelerators?

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Show HN: Sentinel Den – Zero-back end, on-device iOS security SDKs

https://sentinelden.com/
1•iamuhammadkhan•29m ago•0 comments

Cc-doubleteam – Claude plans, Codex executes, Claude reviews

https://github.com/responsiblparty/cc-doubleteam
1•responsiblparty•31m ago•0 comments

Local AI: 775 tok/s, DiffusionGemma (BF16) on Nvidia RTX 6000 Pro

https://twitter.com/OrganicGPT/status/2064883777499795716
1•behnamoh•31m ago•0 comments

ORP – Turn AI agent failures into regression tests and tested lessons

https://github.com/Fujo930/ORP
1•Fujo930•31m ago•0 comments

Tired of AI amnesia, I built a 3-Tier infinite memory LLM in 1 week

https://dl-chat-49232436682.asia-northeast3.run.app/
2•dominicyglee•32m ago•1 comments

Show HN: A tiny shell agent in Rust

https://github.com/skorotkiewicz/nano-agent
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Ask HN: Why not compare Fable 5 with GPT "Pro"? Why compare with GPT xhigh?

1•behnamoh•37m ago•0 comments

Students Are Using a 'Backdoor' to Attend Their Dream Schools

https://www.wsj.com/us-news/education/college-admissions-alternative-enrollment-programs-communit...
1•bookofjoe•39m ago•1 comments

MCP Apps vs. Generative UI

https://www.openui.com/blog/state-of-generative-ui-report
1•zahlekhan•40m ago•0 comments

TrustZone Intermezzo: Broken OP-Tee Memory Isolation on i.MX 8M

https://sigma-star.at/blog/2026/06/trustzone-intermezzo/
1•st_goliath•41m ago•0 comments

Corsair Drone Boat Plucked Downed Apache Crew Out of the Gulf of Oman

https://www.twz.com/sea/this-is-the-corsair-drone-boat-that-plucked-the-downed-apache-crew-out-of...
1•breve•42m ago•0 comments

Solo founders are 63% of new startups in 2026 (Stripe)

https://solofounders.com/blog/solo-founders-are-63-of-new-startups-in-2026-stripe
1•spking•43m ago•1 comments

Ravenstorm at the Center of Airbus's New Combat Drone Portfolio

https://www.twz.com/air/ravenstorm-at-the-center-of-airbuss-new-combat-drone-portfolio
1•breve•44m 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.