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A LangGraph pipeline that generates compiling Flutter apps (with a repair loop)

https://github.com/carlosge492/app-generation-microservice
1•m2magents•1m ago•0 comments

Arch Linux AUR Package Adoptions Halted

https://www.phoronix.com/news/Arch-Linux-AUR-Adoptions-Halted
1•wanderer2323•5m ago•0 comments

Mastodon new TOS: we may restore your self-deleted content from backup

https://mastodon.social/terms-of-service/2026-08-31
2•meysamazad•6m ago•0 comments

Trouble at lunchtime as Hong Kong private club spat escalates

https://www.ft.com/content/da564e49-d7bb-48c9-a5d9-b847b596b23e
1•petethomas•10m ago•1 comments

A Sovereign Coding Agent on macOS – Pi in an Apple Container; Zero NPM on Host

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1•rguiscard•10m ago•0 comments

Ace Sidecar – Efficiency Optimization for Local AI Coding

https://acefleet.dev/blog/announcing-the-ace-sidecar
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Inducing language models to assert their own consciousness restores human

https://arxiv.org/abs/2607.28607
1•sbulaev•15m ago•0 comments

BMW Is Showing Commercials on Their Car's Dash Screens

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1•Tomte•21m ago•0 comments

Last 30 Days (Skill) – AI Agent for Reddit, X, YT, HN, Web and Polymarket

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In Silicon Valley, Some Say an A.I. Bubble Would Be Just Fine

https://www.nytimes.com/2026/07/30/technology/ai-bubble-venture-capital.html
1•mitchbob•28m ago•1 comments

About 100 firefighters are convicted of arson, every year

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2•gurjeet•32m ago•2 comments

Fireside Friday, July 31, 2026 (On The Odyssey)

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1•Tomte•35m ago•0 comments

Loora: Design files your agent can edit

https://loora.design/
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A.I. Books Sneak Their Way into Stores

https://www.nytimes.com/2026/07/28/books/ai-bookselling-amazon.html
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Climate Change Is Moving Mountains

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1•littlexsparkee•43m ago•0 comments

Ask HN: Anyone got DeepSeek-v4-flash-0731 running using antirez/ds4?

1•freakynit•44m ago•0 comments

BMW Spider-Man in-car advertising

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MiniMax H3: Open weights Omni-modal model

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The Cost of China's Free A.I

https://www.nytimes.com/2026/07/29/opinion/ai-china-us-free-models.html
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The development pipeline is a production system

https://sundry.jerryorr.com/2026/07/31/development-pipeline-is-a-production-system
29•firefoxd•1h ago•10 comments

What Is MiniMax H3? Everything You Need to Know About the Hailuo 3.0 Video Model

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Saudi PIF's $55B EA deal gets EU approval under subsidy rules

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2•doughnutstracks•1h ago•0 comments

US lawmakers investigate DoorDash's use of Moonshot AI's Kimi K2.6 model

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4•fragmede•1h ago•3 comments

Situational Awareness Holdings Report

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History of Submarine Telegraphy

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Doom on Emacs

https://github.com/minad/doom-on-emacs/tree/3830991bd3d69a9426498ee4a3dc8b55c8eb2eb5
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AI broke writing as proof-of-thought

https://hereisyourbrain.substack.com/p/ai-generated-content-mind-virus
5•prdgl_daughter•1h ago•0 comments

Claude 5 family's hallucinations look a lot like internal Anthropic emails

https://github.com/alectrocute/dario-and-amanda-prompt/blob/main/outputs.md
3•arm32•1h ago•2 comments

Snapcompact: SoTA compaction – instant, local, free. Pick 3

https://stencil.so/blog/snapcompact
2•mji•1h ago•0 comments

The One That Says IT All

https://liljrxsoverign.substack.com/
2•liljr20•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.