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Exercise intensity influences body composition in healthy older adults

https://www.maturitas.org/article/S0378-5122(25)00571-7/fulltext
1•bookofjoe•1m ago•0 comments

The missing context layer for AI-built apps

https://github.com/ohad6k/VibeRaven
1•ohadkr•1m ago•0 comments

OpenClaw Is Now on iOS and Android

https://twitter.com/openclaw/status/2071688039114342592
1•tosh•2m ago•0 comments

Rewrite the Bun JSON parser around a SIMD structural index

https://github.com/oven-sh/bun/pull/33032
1•cebert•4m ago•0 comments

JEP 539: Strict Field Initialization in the JVM (Preview)

https://openjdk.org/jeps/539
1•birdculture•4m ago•0 comments

Show HN: C++, Java and C# Light-Weight-Logger

https://github.com/PenguineDavid/GeekGreek
1•PenguineDavid•8m ago•1 comments

EchoRelay: Reliable HTTP delivery with retries, fan-out, and more

https://echorelay.dev/
1•miclag•10m ago•0 comments

Show HN: Turnitindetector.ai – Free AI checker for essays, no sign-up

https://www.turnitindetector.ai/
1•gigisss•12m ago•0 comments

Show HN: GPTHumanizer – Free, unlimited AI humanizer for ChatGPT drafts

https://www.gpthumanizer.ai/
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Show HN: Privacy policy generator for AI apps (LLM disclosure, EU AI Act)

https://ai-policy-gen.pages.dev
2•wyss0513•14m ago•0 comments

Show HN: InternetVitals – the internet's vital signs, like a patient monitor

https://internetvitals.com/
1•tkachenko•15m ago•0 comments

Open Printer Progress Update

https://www.crowdsupply.com/open-tools/open-printer/updates/progress-update-and-details-about-our...
1•sabas_ge•15m ago•0 comments

Lumo 2.0

https://proton.me/blog/lumo-2
2•HelloUsername•16m ago•0 comments

SkillSpec – verify that agent skills run the way SKILL.md says

https://skillspec.sh
1•DreyGreatness•16m ago•0 comments

Show HN: Add AI chat to any docs site with one script tag

https://context7-react-chat-widget-demo.vercel.app/
1•abdush•16m ago•1 comments

The US ambassador had Belgian police stop our reporting

https://europeancorrespondent.com/en/r/the-us-ambassador-had-belgian-police-stop-our-reporting
3•robtherobber•17m ago•0 comments

When Cartels Mimic Competition

https://arxiv.org/abs/2606.30470
2•50kIters•18m ago•0 comments

The Cloud Security Act Explained: What It Means for ASML and Europe

https://mrkt30.com/the-cloud-security-act-explained-what-it-means-for-asml-and-europe/
1•technewssss•19m ago•0 comments

Loadr – a Rust load-testing tool that began as a single Claude prompt

https://loadr.io
1•reaandrew•26m ago•0 comments

TinyOps – Self Hosted PaaS OS

https://github.com/tinyops-labs/tinyops.core
2•tarik56•28m ago•2 comments

They're in Their 60s and Their Student Loans Won't Let Them Retire

https://www.wsj.com/personal-finance/student-loan-debt-retirement-865978d2
2•Vaslo•30m ago•0 comments

Why Well-Written Prompts Are Almost Always Structured

https://www.dataleadsfuture.com/why-well-written-prompts-are-almost-always-structured/
2•qtalen•31m ago•0 comments

OpenAI sets up 'warroom' for Codex Token issue

https://www.businessinsider.com/openai-codex-usage-limit-warroom-fix-issue-2026-6
2•champagnepapi•32m ago•0 comments

Apple iPhone 18 Pro supplier list, parts and photos exposed in Tata data leak

https://www.cnbc.com/2026/06/30/apple-iphone-18-pro-supplier-list-parts-and-photos-exposed-in-tat...
1•mgh2•32m ago•0 comments

6 months looking for polish market b2bs

https://clawlabs.pro
1•Story91•36m ago•1 comments

Ask HN: We are building the Flutter equivalent to RN's Ignite CLI

1•ckalen•38m ago•0 comments

"There Are No European Cybersecurity Vendors." Wrong

https://ciphercue.com/blog/there-are-no-european-cybersecurity-vendors-wrong
1•adulion•38m ago•0 comments

Tip

https://vivaldi.com/blog/tips/tip-826/
1•shoegeezer•38m ago•0 comments

CSS Tricks for Markdown Blogs

https://dan-webnotes.com/posts/2026-06-28-css-tricks-markdown-blogs/
2•dandep•44m ago•0 comments

What's wrong with EU age verification? Nothing

https://blog.vrypan.net/2026/06/29/260629-whats-wrong-with-eu-age-verification/
3•Zababa•44m 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.