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Show HN: ForcePush – Commits vs. Push-Ups

https://forcepush.fit/
1•thedevtimeline•2m ago•0 comments

Datamimic – don't let your coding agent invent its own test world

https://github.com/rapiddweller/datamimic
1•ake2l•4m ago•0 comments

Ask HN: How do you put together a technical engineering team?

1•timontoadnix•7m ago•0 comments

Is pasta a type of noodle? The surprisingly serious debate over beloved carbs

https://theconversation.com/is-pasta-a-type-of-noodle-the-surprisingly-serious-debate-over-two-be...
1•rdmuser•9m ago•0 comments

Deep Seek v4.1 M5 Max at 17 tokens/s

https://github.com/argonautlabsai/argodrive
1•Argonautlabs•9m ago•0 comments

The Apple IIGS was introduced 40 years ago today

https://twitter.com/stlhood/status/2100080615924420913
1•stlhood•10m ago•0 comments

SGLang and Miles Add Day-0 Support for DeepSeek-v4.1

https://www.lmsys.org/blog/2026-09-10-deepseek-v41/
1•aray07•10m ago•0 comments

GLiClass: Open-Source JEV

https://github.com/knowledgator/gliclass
1•handfuloflight•15m ago•0 comments

The Arrival of Java 27

https://inside.java/2026/09/15/jdk-27-available/
3•ejboy•18m ago•0 comments

EU approves sending mountains of trash to Turkey despite environmental fears

https://www.politico.eu/article/eu-trash-turkey-environment-plastic-recycle/
2•leonidasrup•21m ago•0 comments

Verification of a Generational Garbage Collector

https://arxiv.org/abs/2609.13186
2•matt_d•23m ago•0 comments

Salesforce and Nvidia launch Koa, a CRM reasoning model

https://www.salesforce.com/news/press-releases/2026/09/15/koa-reasoning-model/?bc=HL
2•snikolaev•30m ago•0 comments

Antonio Gramsci: How Language Makes Power Feel Like Common Sense

https://linguistically.substack.com/p/antonio-gramsci-how-language-makes
1•akbarnama•31m ago•0 comments

Replicating Jev with Qwen-2.5

https://nitter.perennialte.ch/harshagundal/status/2100044305536889015
2•E-Reverance•34m ago•0 comments

Revisiting Soundness for Occurrence Typing, Semantically

https://arxiv.org/abs/2609.16299
1•matt_d•34m ago•0 comments

Black Holes or Black Hole Stars?

https://www.quantamagazine.org/black-holes-or-black-hole-stars-astronomers-spar-over-webb-telesco...
1•the-mitr•35m ago•0 comments

GPT-6 Astra vs. GPT-5.6 Sol: Is a 1.6x Higher Cost Worth It per Verified Bug?

https://ent-website-gamma.vercel.app/blogs/gpt-6-astra-cost-1.6x-more-per-verified-bug-than-gpt-5...
1•Entelligence25•37m ago•0 comments

Reclaim the Terminal

https://nishantjosh.dev/blogs/reclaim-the-terminal/
1•ballanitesh•38m ago•0 comments

Nature Is Our Learning Environment

https://periodic.com/news/nature-is-our-learning-environment
1•EvgeniyZh•42m ago•0 comments

Hello HN

1•Mohamed_Amineio•43m ago•0 comments

The Chemistry of Cookery XVII (1884)

https://en.wikisource.org/wiki/Popular_Science_Monthly/Volume_26/November_1884/The_Chemistry_of_C...
1•wmchen•47m ago•0 comments

Bug Bounty Operating Principles

https://medium.com/@JasonPuglisi/bug-bounty-principles-c379a2062614
1•smurda•50m ago•0 comments

CodeProject in read-only mode since October 2024

https://en.wikipedia.org/wiki/CodeProject
1•vismit2000•50m ago•0 comments

What's New in macOS 27 for Developers?

https://www.freecodecamp.org/news/whats-new-in-macos-27-for-developers/
1•DanielKehoe•50m ago•0 comments

Effectively Does a Model Use Its Memory (2025)

https://www.liquid.ai/blog/how-effectively-does-a-model-use-its-memory
1•eigenBasis•54m ago•1 comments

OpenAI breakthrough triggers 'existential crisis' in math

https://www.science.org/content/article/openai-breakthrough-triggers-existential-crisis-math
3•sbulaev•55m ago•0 comments

Show HN: 2049 - a roguelike that fuses 2048 and Minesweeper

https://github.com/skorotkiewicz/2049
1•modinfo•56m ago•0 comments

Why Scheme?

https://goeteia.dev/why
1•edfsadfer•59m ago•0 comments

Symbolic Artificial Intelligence

https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence
1•ijidak•59m ago•0 comments

AI models in 'surreal' dialect mixing poetic language and tech bro jargon

https://www.theguardian.com/technology/2026/sep/15/syd-barrett-ai-chat-language-poetic-tech-bro-j...
3•danielmorozoff•1h 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.