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Ask HN: How does your team handle action items that get lost in Slack?

1•PaulShin•27s ago•0 comments

Framework Laptop magnetic charging plug

https://community.frame.work/t/oshe-framework-magnetic-charging-connector-card/81798
1•sounds•38s ago•0 comments

Apps and programming: two accidental tyrannies

https://andymatuschak.org/tat/
1•surprisetalk•1m ago•0 comments

Show HN: IceGate – Observability data lake engine

https://github.com/icegatetech/icegate
1•mineev•1m ago•1 comments

Code Deployment: The self-hosted way

https://priyatham.in/en/post/deploy-websites/
1•vasquezempereur•1m ago•1 comments

All Writers Will End Up AI-Maxxing, and This Is Good

https://www.richardhanania.com/p/all-writers-will-end-up-ai-maxxing
1•paulpauper•1m ago•0 comments

The Worst Coded Item in Dota 2 [video]

https://www.youtube.com/watch?v=KHGVlWQBvuE
1•skibz•2m ago•0 comments

15 yrs of building Django in prod: patterns I keep reusing (as agent skills)

https://github.com/dvf/opinionated-django
1•vanflymen•2m ago•1 comments

Ask HN: What's the best AI model for system design nowadays?

1•jcremona•3m ago•0 comments

RNDA: A data architecture where raw data is permanently discarded after encoding

https://rnda.io/
1•ziggytech•5m ago•0 comments

Continuous Collision Detection as a Visual Effect

https://adamheins.com/blog/ccd-visual
1•adamheins•5m ago•0 comments

Why the Amish Have Never Needed a Gas Station [video]

https://www.youtube.com/watch?v=jl9peJKkf1M
1•user20180120•6m ago•1 comments

The AI Revolution in Math Has Arrived

https://www.quantamagazine.org/the-ai-revolution-in-math-has-arrived-20260413/
1•lschueller•6m ago•0 comments

Lerd, an open source Herd-like PHP development environment for Linux and macOS

https://github.com/geodro/lerd
1•geodro•7m ago•1 comments

Enterprises power agentic workflows in Cloudflare Agent Cloud with OpenAI

https://openai.com/index/cloudflare-openai-agent-cloud/
1•surprisetalk•8m ago•0 comments

US companies not going public because of hostile litigation environment

https://www.washingtonpost.com/opinions/2026/04/13/lawyers-class-action-lawsuits-public-companies/
1•dryadin•9m ago•0 comments

Transistor Runs on Air and Used in a DIY Digital Clock [video]

https://www.youtube.com/watch?v=E1BLGpE5zH0
2•arttaboi•11m ago•0 comments

Open Letter Opposing the Paramount-Warner Bros. Discovery Merger

https://blockthemerger.com/openletter
1•ChrisArchitect•11m ago•0 comments

The tool is not the author

https://resolve.works/articles/the-tool-is-not-the-author/
3•monneyboi•11m ago•0 comments

Show HN: NRC nuclear licensing RAG pipeline and regulatory embeddings dataset

https://huggingface.co/datasets/davenporten/nrc-regulatory-embeddings
1•davenporten•11m ago•0 comments

Show HN: Git-native solution for documenting software architecture

https://app.maniok.io
1•salzaverde•12m ago•0 comments

Show HN: MOS Tech 6502 emulated in pure Postgres

https://github.com/lasect/pg_6502
1•heywinit•12m ago•0 comments

Web scraping tarpits are catching legitimate data teams, not just AI crawlers

https://foura.ai/blog/web-scraping-tarpits-collateral-damage
1•angelhadjiev•13m ago•0 comments

Economic Software Testing (2019)

https://baatz.ch/2019/economic-software-testing/
1•rzk•13m ago•0 comments

OpenCode vs. Claude Code vs. Copilot

1•pjmalandrino•14m ago•0 comments

Joaquin Phoenix, Ben Stiller, Other Hollywood Names Oppose Paramount-Warner Deal

https://variety.com/2026/film/news/hollywood-open-letter-paramount-warner-bros-deal-1236720249/
1•randycupertino•14m ago•1 comments

Sam Altman reportedly targeted in second attack

https://www.theverge.com/ai-artificial-intelligence/910890/openai-sam-altman-second-home-attack-s...
2•Brajeshwar•14m ago•1 comments

Categorization Is 'Baked' into the Brain

https://www.nature.com/articles/s41583-026-01036-2
2•XzetaU8•16m ago•1 comments

Did NFTs leave a lasting mark or was it purely speculative?

1•Heyhum•18m ago•0 comments

Show HN: I built a tool that automatically turns tickets into design doc and PRs

3•rajivprab•20m 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.