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An opinionated (and mainly correct) guide to naming

https://adamtornhill.substack.com/p/an-opinionated-and-mainly-correct
1•nephrenka•41s ago•0 comments

Tagged data in Haskell (SICP 2.4.2)

https://entropicthoughts.com/sicp-2-4-tagged-data-in-haskell
1•ibobev•2m ago•0 comments

PipeVoice: The Free local alternative to wispr flow

https://pipevoice.app/
1•signalengine•3m ago•0 comments

Puzzling Success of Overparameterization: Lottery Tickets or Escape Dimensions?

https://infoscience.epfl.ch/entities/publication/9a49779b-f9f8-448d-b3d1-737c78455309
1•rbanffy•3m ago•0 comments

Use of AI to Get News in U.S. Is Rare

https://news.gallup.com/poll/711242/news-rare.aspx
2•giuliomagnifico•4m ago•0 comments

Agent Harness and Claw

https://devblogs.microsoft.com/agent-framework/meet-your-agent-harness-and-claw/
2•ibobev•4m ago•0 comments

How Spotify killed Heardle

https://dles.gg/blog/how-spotify-killed-heardle
2•trizoza•5m ago•0 comments

GELab-Zero: Android automation framework for multimodal LLMs

https://github.com/stepfun-ai/gelab-zero
2•ignoramous•7m ago•0 comments

Show HN: 2026 ASO Complete Guide (With 2025 OCR/AI Tags Update)

https://launchshots.app/blog/app-store-optimization-complete-guide-2026
3•okutan•9m ago•0 comments

Is It Safe to Travel – daily safety scores for 248 countries (open data)

https://isitsafetotravel.org/en/
3•isstt•9m ago•1 comments

A one-week feature took two months, mostly spent keeping three systems in sync

https://beamersoftware.com/blog/the-engineering-tax/the-sync-tax/
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Show HN: A 6KB x86-64 kernel for Firecracker microVMs

https://github.com/ReturnInfinity/BareMetal-Firecracker
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AWS CloudShell CLI

https://github.com/mdourmouch/aws-cloudshell-cli
3•mdourmouch•12m ago•0 comments

Show HN: Agnes AI – Free multimodal API (text, image, video), OpenAI-compatible

2•danissimo8•13m ago•0 comments

Computer Science Crossword: Ideas from Notable Research Papers

https://cstrivia.com/puzzle/19/
2•bluejulius•14m ago•0 comments

Big Tech Is a Thief and a Liar, Says New York Times Publisher

https://newrepublic.com/article/212095/sulzberger-big-tech-thief-liar
2•Michelangelo11•16m ago•0 comments

Vite 8.1

https://vite.dev/blog/announcing-vite8-1
2•thunderbong•18m ago•0 comments

Should You Trust the Hacker News Peanut Gallery?

https://www.thediff.co/archive/should-you-trust-the-hacker-news-peanut-gallery/
2•NewCzech•18m ago•0 comments

Wagtail as Django Admin on Steroids

https://timonweb.com/wagtail/wagtail-as-django-admin-on-steroids/
2•bobjackson•18m ago•0 comments

Tracer Bullets

https://wiki.c2.com/?TracerBullets
2•ankitg12•18m ago•0 comments

Dedicated Server Security Checklist: Complete Linux Server Hardening Guide

https://www.servers99.com/blog/dedicated-server-security-checklist/
2•servers99•19m ago•0 comments

Big Ball of Mud (1999)

https://www.laputan.org/mud/
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Show HN: Get your agents into regulated industries

https://github.com/sammysltd/makerchecker
2•smashini•20m ago•1 comments

Show HN: Heddle, content-addressed contracts for spec-driven agent loops

https://github.com/davet47/heddle
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Show HN: Clai – Context engineering for terminal powerusers

https://github.com/baalimago/clai
2•baalimago•21m ago•0 comments

Multi-temporal Sentinel-2 super-resolution by optimization

https://github.com/calebrob6/s2-superres
3•marklit•22m ago•1 comments

An analysis on why LLMs perform bad on long loop tasks

https://blog.chuanxilu.net/en/posts/2026/06/half-life-of-protocol-compliance-2/
2•alexwwang•24m ago•0 comments

US announces $17.5B in loans for nuclear power supply chain

https://www.reuters.com/business/energy/us-announces-175-billion-conditional-loans-nuclear-power-...
2•MrBuddyCasino•26m ago•0 comments

Word Grid 3D – Daily word puzzle with real-time PvP (WebGL)

https://www.wordgrid3d.com/
2•marcpinter_mpx•28m ago•0 comments

Building the Exe.dev iOS App

https://blog.exe.dev/ios-development
2•tosh•36m 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.