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Lynx: A lightweight DAW open source with the FL Studio workflow

https://lynx-share.com/
1•modinfo•1m ago•0 comments

Microsoft Offers Buyouts to 60k Employees

https://www.nytimes.com/2026/10/26/technology/microsoft-buyouts-ai-spending.html
1•lxm•3m ago•0 comments

Shiny Glass Skyscrapers Are a Hot Thing

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1•lxm•4m ago•0 comments

Reserver is gone, but PyPI's name reservation problem isn't

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1•sadrasabouri•6m ago•0 comments

Git for US Legislation

https://lexifina.com/blog/git-for-the-us-code
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Dueling proofs from OpenAI and Anthropic astound scientists

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Do Guardrails Make AI Coding Agents Better? What 270 Runs Showed

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Show HN: Slopcap

https://github.com/dmead/slopcap
1•dmead•15m ago•0 comments

Logitech Launches MX Master 4 Developer Edition Mouse

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1•sumnole•17m ago•0 comments

Egres: A Postgres-compatible database for heavy, multi-tenant workloads

https://manishrjain.com/egres/
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247A, Notes 3: Singular integral operators

https://terrytao.wordpress.com/2026/10/27/247a-notes-3-singular-integral-operators/
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Billion-query-per-second lookup tables in C++

https://lemire.me/blog/2026/10/26/billion-query-per-second-lookup-tables-in-c/
2•foltik•20m ago•0 comments

A little directory of small, weird websites

https://culdesac.site/
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VibeScout

https://play.google.com/store/apps/details?id=com.kennethwahl.vibescout&hl=en_US
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Millions Use Antidepressants. We Still Don't Understand How They Work

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1•gumby•23m ago•1 comments

Workshop on Modular forms around string theory (2013)

https://www.fields.utoronto.ca/programs/scientific/13-14/calabi-yau/modular/index.html
1•gone35•23m ago•0 comments

Google can now use your Gmail data for ads: How to turn it off

https://proton.me/blog/gmail-ads
6•devonnull•30m ago•0 comments

Women, Work and Caregiving Through the Arc of Family Life

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1•gmays•32m ago•0 comments

Starship Telemetry

https://telemetry.starshipspaceprogram.com/
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Stealing a Trick from Nuclear Physics to Solve a Puzzle

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Building Slack at Salesforce. Part teo

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Building Slack at Salesforce. Part one

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America Needs Explosives for Its Drones. Odin Energetics Is Making Them

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1•JumpCrisscross•43m ago•0 comments

Microsoft offers voluntary buyouts as AI leads to efficiency push

https://www.cnbc.com/2026/10/26/microsoft-msft-voluntary-buyouts.html
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Rest of World faces prospect of shutting down

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Tiny model, full provenance – Apache Sourcelume

https://rai.apache.org/blog/tiny-model-full-provenance.html
1•qainsights•48m ago•0 comments

A hand-picked gallery of AI-generated motion graphics and their prompts

https://motioncrackers.com
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Show HN: Misery in America

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2•sightspinner•51m ago•5 comments

Show HN: I built Trvlrr, home for all your travels

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1•sanjaybhagia•52m 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.