frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

Help me test Capfolder, a free, open-source replacement for Pulley/Carta

https://capfolder.com/
1•MKBSP•51s ago•0 comments

The time Bluesky tried to kill my server

https://jola.dev/posts/the-time-bluesky-tried-to-kill-my-server
1•shintoist•2m ago•0 comments

Inference Proft Estimator

https://inferencex.semianalysis.com/profit-estimator
1•theanonymousone•2m ago•0 comments

For all the Spotify apps you'll never get to discover

https://www.reddit.com/r/truespotify/comments/1xapob8/for_all_the_spotify_apps_youll_never_get_to/
1•mikepapadim•3m ago•0 comments

Show HN: ModVet – vet your Claude Code mods before you install them

https://github.com/joergmichno/modvet
1•joergmichno•3m ago•0 comments

Show HN: Spryte – a 2D web renderer, 2–4× faster than the most popular one

https://debuff.jp/spryte/
1•gregjw•3m ago•0 comments

Show HN: Scrap, a free, open-source Markdown scratchpad for the Mac menu bar

https://github.com/Anubhavdxt/scrap
1•anubhavdxt•4m ago•0 comments

Dave Page: Pgbuild, and Knowing What Ships with PgAdmin

https://www.pgedge.com/blog/pgbuild-and-knowing-what-ships-with-pgadmin
1•hnp9j9qtda•4m ago•0 comments

Obsidian has been voted as the #1 knowledge management app (by 10 "leading" AIs)

https://vibevoted.com/s/knowledge-management-2026
1•stanislavb•8m ago•0 comments

Show HN: ReactGrind – LeetCode-style React challenges with in-browser tests

https://www.reactgrind.com/
1•mimexi4851•8m ago•0 comments

Stateful garbage collection: only process what changed

https://valk-lang.dev/blog/stateful-garbage-collection
1•ctxcode•9m ago•0 comments

Artificialliabilities.com

https://artificialliabilities.com
2•ndom91•9m ago•1 comments

AI debt worries spark surge in default insurance trading

https://www.ft.com/content/6dd31584-064c-4015-bf5d-e5747799ccd5
1•1vuio0pswjnm7•10m ago•1 comments

Principles to Lift the Academic Fog of War and Be More Realistic about Battle

https://nationalinterest.org/feature/four-principles-lift-academic-fog-war-more-realistic-battle
1•baud147258•10m ago•0 comments

Templates for Woven Christmas Hearts

https://juleflet.dk/en/
1•soegaard•12m ago•1 comments

Saudi Arabia Created the Yemen It Fears

https://nationalinterest.org/blog/middle-east-watch/how-saudi-arabia-created-the-yemen-it-fears
1•baud147258•12m ago•0 comments

The Diesel Weapon

https://edconway.substack.com/p/the-diesel-weapon
1•baud147258•12m ago•0 comments

Show HN: Photo Ferret – open-source photo album with creative filters

https://github.com/JonesSteven/photo-ferret
1•SteveVeilStream•16m ago•0 comments

The Remarkable Utility of Dataflow Computing (2020)

https://www.sigops.org/2020/the-remarkable-utility-of-dataflow-computing/
1•mpweiher•18m ago•0 comments

Trump Appointees Asked a Federal Cybersecurity Agency to Hack a Voting Machine

https://www.propublica.org/article/cisa-election-security-donald-trump
3•robtherobber•20m ago•0 comments

Zippy: The smallest power-autonomous bipedal robot(2025)

https://arxiv.org/abs/2505.05686
1•num42•23m ago•1 comments

Strip the Bloatware from Any Android TV or Google TV over Wi-Fi

https://github.com/Gathin23/cleanyourtv
1•andreicap•25m ago•0 comments

EverQR, dynamic QR codes with a written never-expire guarantee

https://everqr.darsena.app
1•paranojik•27m ago•0 comments

Show HN: Circix: Rewired – a Hashi-style circuit puzzle rebuilt in PixiJS

https://kinorogames.itch.io/circix-rewired
1•kinoro•28m ago•0 comments

Bill Gross's AI Tool Could Supercharge the Number of Startups

https://www.wsj.com/tech/ai/bill-grosss-ai-tool-could-supercharge-the-number-of-startups-27187080
2•thm•30m ago•0 comments

Sumi.css – Classless CSS Framework

https://vladocar.github.io/Sumi.css/docs.html
2•vladocar•31m ago•0 comments

ScientistTwo: Pioneering the Human Knowledge Frontier with Autonomous AI

https://arxiv.org/abs/2609.19644
3•Anon84•32m ago•0 comments

RWR: Onlooker Alert

https://github.com/revocx35/RWR
1•Gander5739•32m ago•0 comments

How to study a swiftly melting climate disaster

https://www.technologyreview.com/2026/10/20/1147135/how-to-study-a-swiftly-melting-climate-disaster/
1•joozio•34m ago•0 comments

DataChat – Free, zero-dependency Java tool ask questions with Claude/Offline AI

https://github.com/RDMachinery/DataChat
1•TheScoob•35m 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.