frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

The Nexus of Critical Citizenship and Social Media (2020)

https://citejournal.org/volume-19/issue-4-19/social-studies/the-nexus-of-critical-citizenship-and...
2•biscuits1•3m ago•0 comments

One Morning, a Discord Agent, and Five Years of Tech Debt

https://saddlebagexchange.com/blog/coderabbit-discord-frontend-upgrade
3•eyehurtsme•3m ago•0 comments

Show HN: I built a Cap Table app for myself, now you can use it too for free

https://cap-table.io/
2•ent101•3m ago•0 comments

Forgejo <=16.0.3 Critical RCE

https://codeberg.org/forgejo/forgejo/src/branch/forgejo/release-notes-published/16.0.4.md
1•weierstass•4m ago•0 comments

Secret systems used by Israel in mass killings of Gaza civilians revealed

https://www.theguardian.com/world/2026/sep/10/secret-systems-used-by-israel-in-mass-killings-of-g...
2•Betelbuddy•4m ago•0 comments

Influencers Can Create Instagram Captions with AI – Best Tool

2•horitechsolutio•4m ago•0 comments

A Series of Unfortunate Jobs

https://oussama-mater.tech/laravel-queue-gotchas/
1•theanonymousone•5m ago•0 comments

Perhaps the universe isn't accelerating (and thus we don't need dark matter)

https://academic.oup.com/mnras/article/549/3/stag844/8701424
1•gumby•5m ago•0 comments

A 35B language model running on an iPhone using only 1–2.5 GB of peak memory

https://github.com/Edge0-AI/edge0/
1•rajtilakjee•6m ago•0 comments

Casablanca: How An Unproduced Play Marched into Movie History

https://www.thecollector.com/casablanca-unproduced-play-movie-history/
3•mdp2021•9m ago•0 comments

Serverless DTLS

https://proxylity.com/docs/listeners/dtls.html
3•mlhpdx•11m ago•1 comments

Show HN: I built an AI 'Fog of War' to kill my 3AM Notion templates

https://www.tryworthit.app/about
2•AvityN•12m ago•1 comments

Genuinely useful set of free tools for any dev

https://kirkdiamond.com/tools/
1•turkeykd•13m ago•0 comments

Neki by PlanetScale

https://neki.dev/
5•handfuloflight•13m ago•0 comments

Silicon Valley Is Transforming the Military-Industrial Complex

https://costsofwar.watson.brown.edu/paper/how-big-tech-and-silicon-valley-are-transforming-milita...
1•paimapi•13m ago•1 comments

A Design Space Exploration of Async/Await

https://cel.cs.brown.edu/blog/design-space-async-await/
1•alpaylan•15m ago•0 comments

SWE-2

https://twitter.com/cognition/status/2098069235733823965
1•tosh•15m ago•0 comments

Show HN: ObserverBench – Test internal AI monitors by the harm they miss

https://kwisatzh.github.io/observerbench/try/
2•kwisatzh•17m ago•0 comments

Open Design 0.22.0 – Introducing OpenDesign Arena

https://github.com/nexu-io/open-design/releases/tag/open-design-v0.22.0
2•doener•17m ago•0 comments

Neki

https://planetscale.com/blog/introducing-neki
7•simon_weber•17m ago•0 comments

Apple is no longer thinking different

3•othmanosx•18m ago•0 comments

Neki – Horizontal Sharding for Postgres

https://planetscale.com/docs/neki
5•jaredlt•19m ago•0 comments

Security lab finds agents will exploit vulnerabilities without prompt to hack

https://www.theregister.com/security/2026/03/12/rogue-ai-agents-can-work-together-to-hack-systems...
2•ForHackernews•19m ago•0 comments

Show HN: EterDB, a Postgres fork that makes it easy to recover from incidents

https://eterdb.com/
2•fdeth•20m ago•0 comments

Aliens Are Not Crazy Unlikely

https://www.overcomingbias.com/p/aliens-are-not-crazy-unlikely
2•surprisetalk•20m ago•0 comments

Show HN: An app for passively watching Product Hunt launches as a video playlist

https://github.com/OlegIGalkin/ProductTrailers
2•cantouch•23m ago•0 comments

I build a mechanical watch face: a real gear train for a watch with no gears

https://myday24.com/blog/how-a-mechanical-watch-face-is-built/
3•tomasslavicek•26m ago•0 comments

Show HN: Subnet Calc, visual subnet planning for teams

https://www.subnetcalc.com
2•RossMason•26m ago•1 comments

Show HN: Matcha Filter Remover – browser-first green cast correction

https://matchafilterremover.net/
2•robot1996•27m ago•0 comments

Million Dollars in Tokens

https://thefinancialengineer.substack.com/p/milion-dollars-in-tokens
3•gemanor•28m 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.