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We Have Traits at Home

https://www.axelmagn.com/blog/202610-zig-traits/
1•Ygg2•55s ago•0 comments

We probably cannot automate the software engineer away

https://thelastsoftwareengineer.substack.com/p/we-probably-cannot-automate-the-software
2•azhenley•4m ago•0 comments

Coding Magic the Gathering in C# – Part Two – The Impossible Magic Card

https://www.youtube.com/watch?v=Xbfzye07Xrg
1•birdculture•5m ago•0 comments

Building Saver Insights: Turning particles into a graph

https://up.com.au/blog/saver-insights/
1•0neSe7en•6m ago•0 comments

Elon Musk pours $366M into midterm Republican campaigns

https://www.cnbc.com/2026/10/22/elon-musk-midterm-election-spacex-tesla.html
2•Alien1Being•7m ago•0 comments

GitHub now uses a generic avatar instead of "Identicons" for new profiles

1•winkelmann•9m ago•0 comments

OpenAI trims valuation target after pitching higher price

https://www.ft.com/content/bb564eb1-79d4-4694-aa24-1155202a9abc
1•Alien1Being•9m ago•0 comments

DisplaySwitcher

https://nebulasoftware.com/product/displayswitcher/
1•BoydEdmondson•9m ago•0 comments

Geoffrey Hinton: 'I think there's a 1% chance it will destroy us'

https://english.elpais.com/science-tech/2026-10-21/geoffrey-hinton-the-godfather-of-ai-im-not-a-d...
1•geox•12m ago•0 comments

Attie

https://attie.ai/login
1•jcbhmr•13m ago•0 comments

US appeals court ejects judge from case over AI errors

https://www.reuters.com/legal/government/appeals-court-lifts-block-mississippis-dei-ban-ejects-ju...
3•droidjj•13m ago•0 comments

Integrating Better with Other ATProto Services

https://blog.wisp.place/posts/integrating-atproto/
1•jcbhmr•14m ago•0 comments

Canva's image model reaches #4 on Design Arena

https://twitter.com/DesignArena/status/2113349031762268476
1•dannyw•17m ago•0 comments

AI Is Changing Everything About Hacking. No One Knows What Happens Next

https://www.404media.co/php2shell-black-october-ai-is-changing-everything-about-hacking-no-one-kn...
1•carwil•17m ago•0 comments

PHP2Shell Services

https://php2shell.censys.com
1•cdrnsf•18m ago•0 comments

DuckDB 2.0 and the Query Farm extension repository

https://query.farm/blog/duckdb-2-query-farm-repository/
1•rustyconover•19m ago•0 comments

Machinists > Tailors

https://pauldambra.dev/2026/10/machinists-not-tailors.html
1•rbaudibert•20m ago•0 comments

Datacenters 2027: The Year of Acceleration, +50GW in a Single Year

https://newsletter.semianalysis.com/p/datacenters-2027-the-year-of-acceleration
1•mikhael•21m ago•0 comments

Local Wikipedia is Wikipedia, but only for things a half hour walk from you

https://edjefferson.com/localwiki/
2•sohkamyung•23m ago•0 comments

Fraud losses among older Americans hit $3B in 2025 as big losses surge: FTC

https://www.cnbc.com/2026/10/22/older-americans-fraud-losses-2025.html
2•pseudolus•25m ago•0 comments

Agentic ML Experimentation at Snap

https://eng.snap.com/alchemist
1•wyes•27m ago•0 comments

Tangled knot that runs on Cloudflare Workers

https://tangled.org/oppi.li/naut
1•jcbhmr•29m ago•0 comments

LLMs are making formal software verification feasible at a much larger scale

https://www.anthropic.com/research/formal-verification
1•johnbender•30m ago•0 comments

Death to long-lived static credentials

https://vercel.com/blog/death-to-long-lived-static-credentials
1•cramforce•31m ago•1 comments

Inkspo

https://inkspo.ai
2•patchtattoother•32m ago•1 comments

Intentionally Down

https://control.softlayer.com/
2•gfs•34m ago•0 comments

Show HN: Walkman – turn-by-turn routing in the browser, built from vector tiles

https://walkman.uz/
2•sardor_r1•34m ago•0 comments

Noise: Speedrun for Pretraining Without Backpropagation

https://qlabs.sh/noise#update
2•ZeroCool2u•34m ago•0 comments

Show HN: Taveo – Split bar and restaurant bills without sign-up

https://taveo.app/en
3•gallegodev•35m ago•2 comments

Startup plans to rejuvenate nuclear power industry with new manufacturing

https://news.mit.edu/2026/startup-rejuvenates-nuclear-power-industry-new-manufacturing-approach-1022
1•rbanffy•36m 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.