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Which AI model is best for real data analysis?

https://mljar.com/analysis/
1•pplonski86•56s ago•0 comments

Usand: Minimal Unshare(1)-Based Sandbox

https://github.com/richfelker/usand
1•fanf2•1m ago•0 comments

Show HN: SigMap – shrink AI coding context 97% with auto-scaling token budget

https://github.com/manojmallick/sigmap
1•manoj079•1m ago•0 comments

Python Markdown pipeline after the collapse of MkDocs: ProperDocs and Zensical

https://group.miletic.net/en/blog/2026-04-14-the-future-of-mkdocs-properdocs-and-zensical/
1•vedranm•2m ago•0 comments

How to implement cryptographically-secure API keys

https://kerkour.com/api-keys
1•randomint64•2m ago•0 comments

Comment and Control: Prompt Injection in Claude Code, Gemini CLI, and Copilot

https://oddguan.com/blog/comment-and-control-prompt-injection-credential-theft-claude-code-gemini...
1•0dd•2m ago•1 comments

Projected warming will exceed the long-term thermal limits of rice cultivation

https://www.nature.com/articles/s43247-025-03108-0
1•robtherobber•9m ago•0 comments

Rawm Gaming Mouse – Leviathan V4

1•KevinSue•12m ago•0 comments

We Built Hanker in 14 Days with Claude

https://hanker.app/blog/we-built-hanker-in-14-days-with-claude-heres-the-slightly-unhinged-techni...
2•whatsupdog•12m ago•0 comments

GBrain – system to make your AI agent better reflect you

https://github.com/garrytan/gbrain
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Razor1911

https://www.pouet.net/prod.php?which=105954
1•reimertz•18m ago•0 comments

You're paying your best engineers $109,000 a year to babysit code

https://blog.codacy.com/youre-paying-your-best-engineers-109000-a-year-to-babysit-code
2•ARayOutOfBounds•18m ago•0 comments

Testing OpenGraph on localhost from the CLI before you go public

https://simonhartcher.com/posts/2026-04-15-testing-opengraph-on-localhost-from-the-cli/
1•deevus•19m ago•0 comments

Rosetta Code – Programming Chrestomathy

https://rosettacode.org/wiki/Rosetta_Code
1•paraschopra•22m ago•0 comments

Gradient Bang: a multiplayer game built with LLMs

https://www.gradient-bang.com/
1•wavelander•23m ago•1 comments

$TSLA is trading at 324x earnings

https://xcancel.com/UnotheInvestor/status/2044141719948865796
2•doener•24m ago•0 comments

I found a way to goof off at work

https://chromewebstore.google.com/detail/openpaws/nbkcemoklobbiamcncmadljpaaoemdkg
1•jimliux•25m ago•0 comments

Nxs-universal-chart – open-source tool to install applications into Kubernetes

https://github.com/nixys
1•nixys_nxs•25m ago•2 comments

Are AI Hallucinations a Freudian Slip?

https://btriani.medium.com/the-talking-cure-and-the-talking-machine-51460b9bdef6
1•btriani•28m ago•0 comments

OpenSSL 4.0 Final Release – Live

https://openssl-library.org/post/2026-04-14-openssl-40-final-release/
1•neustradamus•30m ago•0 comments

Gemma Thinking Like Claude Opus

https://decrypt.co/364344/gemopus-gemma-4-claude-opus-style-local-ai
1•hochmartinez•33m ago•0 comments

Corporations and Climate Change: An Overview

https://wires.onlinelibrary.wiley.com/doi/full/10.1002/wcc.919
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Show HN: I built a contextual explainer to replace my dictionary extensions

https://chromewebstore.google.com/detail/rhino/dpnjiddopbpgfpmocgjbofikgdoeapab
1•oishika10•34m ago•0 comments

Anna's Archive Loses $322M Spotify Piracy Case Without a Fight

https://torrentfreak.com/annas-archive-loses-322-million-spotify-piracy-case-without-a-fight/
24•askl•37m ago•12 comments

Tips for a Successful Life by Agnes Callard

https://twitter.com/AgnesCallard/status/1503108298349838336
2•jimsojim•41m ago•0 comments

Bernt Børnich: Meet NEO, your robot butler in training [video]

https://www.ted.com/talks/bernt_bornich_meet_neo_your_robot_butler_in_training
2•fagnerbrack•44m ago•0 comments

OpenCognit – Open-source OS for autonomous AI agents

https://github.com/OpenCognit/opencognit
2•otnap•44m ago•0 comments

Show HN: Open Capital – AI-powered investing education

https://open-capital.ai
1•ivinvest284•47m ago•0 comments

Algolia Answers (2020): first implementation of RAG?

https://web.archive.org/web/20201124212210/https://www.algolia.com/doc/guides/algolia-ai/answers/
1•matthieu_bl•48m ago•1 comments

Under the hood of MDN's new front end

https://developer.mozilla.org/en-US/blog/mdn-front-end-deep-dive/
2•rguiscard•51m ago•0 comments
Open in hackernews

Ask HN: LLM is useless without explicit prompt

4•revskill•11mo 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•11mo 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•11mo 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•11mo 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.