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Show HN: I built an AI that knows my net worth: 3 countries, 6 currencies

https://demo.joinbrisa.com
1•kareemarab•3m ago•0 comments

Pyramids – GIS Utility Package

https://github.com/serapeum-org/pyramids
1•marklit•4m ago•0 comments

Sentiment analysis of Reddit threads using BERT models

https://threadmood.sibencedigital.com/app?url=https%3A%2F%2Fwww.reddit.com%2Fr%2Fprogramming%2Fco...
1•jbarti•5m ago•1 comments

Quitting a Forever Game

https://ravi64.com/quitting-pokemon-go-forever-game/
1•outrunner•8m ago•0 comments

Compressor V2: three compression layers for a 50% LLM agent cost cut

https://www.edgee.ai/blog/posts/introducing-compressor-v2-three-compression-layers-measured-end-t...
4•kokakiwi•10m ago•0 comments

Pokémon Go '10th Anniversary Party' event guide

https://www.polygon.com/pokemon-go-10th-anniversary-party-event-timed-research-costumes-gimmighoul/
2•rldjbpin•11m ago•0 comments

Show HN: RNet, an AI credit wallet for everyday users

https://www.rnetai.org/
2•nextma•11m ago•1 comments

The evidence against "ultra-processed" foods is weaker than you think

https://www.vox.com/future-perfect/494045/ultra-processed-foods-science-rcts
1•theanonymousone•13m ago•1 comments

Jetterix Pressure Nozzle ReviEwS (2026) We Tried It My Honest Review

https://finance.yahoo.com/sectors/technology/articles/jetterix-pressure-nozzle-urgent-report-1739...
1•raysdaro•18m ago•0 comments

Why did the jump from Intel MacBooks to Apple Silicon feel that huge?

https://freipaul.com/posts/why-did-apple-silicon-feel-so-huge
1•PHr15•18m ago•0 comments

How to Download Canvas and Panopto Lecture Videos

https://www.scholarshipsads.com/blog/how-to-download-canvas-and-panopto-lecture-videos
1•behindai•29m ago•0 comments

Trump's 'narco‑terrorism' war in Latin America evokes Reagan

https://theconversation.com/trumps-narco-terrorism-war-in-latin-america-evokes-reagan-then-as-now...
1•robtherobber•30m ago•0 comments

Pioneer of 'extreme male brain' theory of autism now says phrase unhelpful

https://www.theguardian.com/society/2026/jul/05/autism-extreme-male-brain-simon-baron-cohen
2•Michelangelo11•31m ago•0 comments

India's IT industry is shrinking general hiring while AI roles rose 16%

https://twitter.com/rohanpaul_ai/status/2073314619423174678
1•rustoo•31m ago•0 comments

Veteran Coder, Modern Delivery: The Hunt for the Perfect Technical TPM Role

https://www.mariusb.net/blog/2026/07/veteran-coder-modern-delivery-the-hunt-for-the-perfect-techn...
1•mariusb16•32m ago•0 comments

Google disrupts NetNut proxy network used in malware operations

https://www.reuters.com/business/media-telecom/google-disrupts-netnut-proxy-network-used-malware-...
1•angst•32m ago•0 comments

Mercury – Hermes HF Modem

https://github.com/Rhizomatica/mercury
1•noyesno•40m ago•0 comments

UN chief warns AI is developing faster than rules can keep up

https://www.reuters.com/technology/un-chief-warns-ai-is-developing-faster-than-rules-can-keep-up-...
2•adithyaharish•46m ago•0 comments

A Skiing Accident Put Our Development Practices to the Test

https://blog.enioka.com/2026/07/03/how-a-skiing-accident-put-our-development-practices-to-the-test/
4•hebus•48m ago•0 comments

14× faster embeddings: how we rebuilt the ONNX path in Manticore

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2•snikolaev•50m ago•0 comments

Looking Forward to Postgres 19: Split Personality

https://www.pgedge.com/blog/looking-forward-to-postgres-19-split-personality
1•rellem•51m ago•1 comments

Defeat air-gapped systems by exfiltrating data using Apple Find My network

https://github.com/HouzuoGuo/hzgl-air-bridge
2•austinallegro•52m ago•0 comments

DJ USB T[ool]kit

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1•chipheadi•52m ago•0 comments

Show HN: WatermarkGo – Gemini Watermark Remover

https://watermarkgo.com
2•qwikhost•55m ago•0 comments

HN: An automated CI/CD testing harness for Model Context Protocol servers

https://github.com/vaquarkhan/mcp-test-harness
2•vaquarkhan•55m ago•0 comments

AI-powered product photography suite designed specifically for Amazon sellers

https://loomadesign.ai/
1•loomadesignai•58m ago•0 comments

Show HN: Excalibur. The open-source AI coding agent for product engineers

https://getexcalibur.dev
4•Rafael_Casuso•59m ago•0 comments

Thoughts on the Near Future

https://x.com/bayeslord/article/2072056960430789032
1•grodriguez100•1h ago•0 comments

What America has meant to me

https://twitter.com/swyx/status/2073657149067321412
1•pretext•1h ago•0 comments

Built a Website for People Who Miss the Old Web

https://www.dailicle.com/
2•lucky-solanki•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.