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How Go Players Disempower Themselves to AI

https://www.lesswrong.com/posts/nR3DkyivzF4ve97oM/how-go-players-disempower-themselves-to-ai
1•zetalyrae•1m ago•0 comments

How Cursor sets up their cloud agent environment

https://cursor.com/blog/cloud-agent-environment
1•inferhaven•2m ago•0 comments

Spain to put containment fence round Ceuta after deadly border rush from Morocco

https://www.cbsnews.com/news/spain-ceuta-morocco-migrants-border-crossings/
1•SilentM68•7m ago•0 comments

Email compromise that wiped half a billion $

https://ravenmail.io/blog/bank-of-baroda-leak
3•abishekr•10m ago•0 comments

Show HN: N3MO better ROI than CodeRabbit

https://www.n3mo.shop/
1•RajX_dev•10m ago•0 comments

Servitor (Simple way to run local dev containers)

https://github.com/sndsabin/servitor
2•havu12•16m ago•0 comments

Show HN: New Parts for Old Computers

https://newold.computer/
1•joshu•17m ago•0 comments

AI Mentions in Job Descriptions – August 2026

https://corvi.careers/blog/ai_jobs_aug_2026/
2•sp1982•21m ago•0 comments

Pulverised recycled glass helps boost farm productivity with benefits to soil

https://www.abc.net.au/news/2026-07-31/ground-glass-silicon-fertiliser-farm-productivity/106963488
2•Tomte•25m ago•1 comments

An AI meeting recorder that sees and hears everything

https://github.com/puremetricsai/lumi
2•puremetrics•26m ago•2 comments

Show HN: Drop your site, get design feedback based on similar sites

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DDisasm: Reversible (bi-directional) Disassembler

https://github.com/GrammaTech/ddisasm
1•aboardRat4•32m ago•1 comments

Show HN: An AI-Powered Widget for Collecting User Feedback

https://makethisbetter.dev/
2•paicha•37m ago•0 comments

Show HN: An AI wrote and illustrated a book of fables about threads and packets

https://booyaka101.github.io/thedailyfable/day07/
3•Booyaka101•43m ago•0 comments

Lerobit MMP V1: Transforming AI Marketing-Coming Soon

https://www.lerobit.com/coming-soon
1•akliluart•49m ago•0 comments

Mob – A personal CRM as an MCP server

https://mobcrm.au/
1•benkaiser•54m ago•1 comments

I Built Peko to Fix Native App Deployment

https://app.pekoui.com/blog/why-i-built-peko
1•IAmPrestonBrown•57m ago•0 comments

Show HN: An update to the random OS (windogeOS)

https://github.com/NoTheIdiot/WindogeOS
1•notheidiot•59m ago•0 comments

Show HN: Do Codex skills save tokens? A six-run task-size benchmark

https://codex-howto-benchmark.nguyenvantamdk2.chatgpt.site
2•phelannguyen164•59m ago•0 comments

China, Open Source and AI Competitiveness with Andrew Ng

https://www.youtube.com/watch?v=2OUGXI9Y1sk
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Show HN: swsql – A PostgreSQL client for the terminal, written in Swift

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Show HN: Browse all 147k Emoji Kitchen combos in the browser

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The Case for Colonising Titan

https://spacedaily.com/t-saturns-moon-titan-has-an-atmosphere-thicker-than-earths-and-seas-you-co...
2•Gaishan•1h ago•1 comments

Show HN: Hype League, Fantasy Football for pre-season player news

https://www.hypeleaguefootball.com/
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Psychiatric adverse events following Covid-19 vaccination

https://www.nature.com/articles/s41380-024-02627-0
4•typeofhuman•1h ago•1 comments

Forerunners to the Automobile

https://group.mercedes-benz.com/company/tradition/company-history/forerunners-to-the-automobile.html
1•num42•1h ago•0 comments

Non-human cyber warfare is here

https://evanverma.com/non-human-cyber-warfare-is-here
1•edverma2•1h ago•0 comments

Timeline of Historic Inventions

https://en.wikipedia.org/wiki/Timeline_of_historic_inventions
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Local, Open source AI meeting recorder that sees and hears everything

1•puremetrics•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.