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Making the Internet Boring

https://cemrehancavdar.com/2026/08/30/making-the-internet-boring/
1•zdw•1m ago•0 comments

Game of Life Tower

https://notes.jordanscales.com/gol-tower
1•syx•2m ago•0 comments

Ask HN: What do you use to host side projects?

1•ilmak1704•2m ago•0 comments

Upround – paper trade YC startups

https://upround.app/
2•jeremykalfus•4m ago•0 comments

Texas Senate hopeful Talarico teams with Mark Cuban to breakup healthcare

https://www.cnbc.com/2026/08/27/texas-senate-james-talarico-mark-cuban-healthcare.html
2•rawgabbit•5m ago•0 comments

I Use Claude Code on an Unfamiliar Codebase

https://thetechbuffet.substack.com/p/claude-code-on-an-unfamiliar-codebase
1•ahmedbesbes•5m ago•0 comments

Ask HN: Is Paul Graham right that you shouldn't build startups at 17?

1•AmirMakirr•10m ago•0 comments

ATF's Breached System Was Isolated. Its IT Management Workforce Fell 25%

https://www.federalhiringdata.com/articles/atf-major-data-breach-cyber-workforce-2026
1•ycombinatronics•10m ago•0 comments

Chrome Web Store extensions caught stealing crypto, browser data

https://www.bleepingcomputer.com/news/security/chrome-web-store-extensions-caught-stealing-crypto...
2•sbulaev•14m ago•0 comments

No agents after 8 pm

https://sparsethought.com/2026/08/19/no-agents-after-8pm/
1•galsapir•15m ago•0 comments

Photon Frames – The digital photo frame for Synology Photos and Immich

https://photonframes.com/
1•evo_9•16m ago•0 comments

Google Maps Will Show 'Lake America' in US, Not 'Lake Ontario'

https://www.reuters.com/world/us/google-maps-will-show-lake-america-us-not-lake-ontario-2026-08-30/
3•geox•17m ago•1 comments

The XGBoost Vector-Leaf Model

https://xgboost.ai/2026/08/25/introducing-the-xgboost-vector-leaf-model
2•theanonymousone•18m ago•0 comments

Show HN: Automated Sanborn map georeferencing, with a Chicago map viewer

https://autogeoref.com/
1•chicagopluto•19m ago•1 comments

America's next grocery shock is brewing

https://www.axios.com/2026/08/30/grocery-inflation-prices-war-diesel
1•cwwc•20m ago•0 comments

Build a Bigram Model in 10 Minutes

https://www.sithankanna.com/posts/learning-bigram-zero-layers.html
1•hdit•20m ago•0 comments

Cores in space: The core memory module from a 1980 Spacelab computer

https://www.righto.com/2026/08/spacelab-core-memory.html
5•pwg•21m ago•1 comments

Ask HN: Anyone care to answer a small survey about ML?

1•aunekiaru•23m ago•1 comments

Is GitHub Down?

2•worldsavior•28m ago•0 comments

Terrible Advice for Software Engineers

https://twitter.com/steveruizok/status/2093748670617256098
1•rafaepta•32m ago•0 comments

Highsky – An interactive canvas where you own spots until someone pops you out

https://highsky.lol
1•eradon•33m ago•0 comments

Devastation from the Nepal-China Floods in 30 photos

https://www.aljazeera.com/gallery/2026/8/30/in-pictures-devastation-from-the-nepal-china-floods
4•saikatsg•34m ago•0 comments

I am no longer letting Claude Code add itself as Co-author in my commits

https://igupta.in/blog/why-i-am-no-longer-letting-claude-code-add-itself-as-coauthor/
7•dhanush•34m ago•0 comments

I Study Successful People. They Have One Habit in Common

https://www.nytimes.com/2026/08/28/opinion/successful-people-help.html
1•whack•35m ago•0 comments

Show HN: Médicos por Venezuela – Non-profit medical help

https://medicosporvenezuela.org/
1•softronic•35m ago•1 comments

How to go to the doctor in 2026

https://davidadrian.cc/blog/how-to-go-to-the-doctor-in-2026/
4•dcanones•36m ago•0 comments

Pigs in Studio Ghibli Films

https://thehumaneleague.org/article/pigs-hayao-miyazaki
1•marysminefnuf•37m ago•0 comments

Despite Risk, Speeding Becoming Normalized, AAA Study Finds

https://www.carriermanagement.com/news/2026/08/20/291238.htm
3•bookofjoe•39m ago•0 comments

Microduck

https://pollen-robotics.com/microduck/blog/introducing-microduck/
1•unsnap_biceps•43m ago•0 comments

Show HN: Roam, a GPS speedometer that tries not to burn in your OLED

https://github.com/Nicsilver/roam
1•Nicsilver•43m 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.