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IFA 2026 in Berlin: all news about gadgets, AI and tech

https://forgeeks.net/theme/ifa2026/
2•ledoncool•30s ago•0 comments

Csveee – parsing CSV at up to 192 GB/s in Rust

https://github.com/ackxolotl/csveee
1•foooo4•1m ago•0 comments

Septabee; music workstation with more rewrites that you can shake a stick at [video]

https://www.youtube.com/watch?v=lW8Z98pXuSE
1•HydroKai•2m ago•0 comments

Show HN: MC/DC coverage so coding agents could work overnight

https://supercov.com
1•Nedomas•2m ago•0 comments

Normalized Fascism in Open Source: $12M Given to DHH

https://brennan.day/normalized-fascism-in-open-source-12-million-given-to-dhh/
2•birdculture•3m ago•0 comments

The Two Abstractions of System Design: Hide or Reduce

http://muratbuffalo.blogspot.com/2026/05/the-two-abstractions-of-system-design.html
1•ubolonton_•3m ago•0 comments

Ending my elixir exploratory writing

https://lucassifoni.info/blog/the-end-of-this-elixir-log/
1•ffin•5m ago•0 comments

GTA 6 Lets You Throw Dog Poop at People

https://www.gamespot.com/articles/gta-6-lets-you-throw-dog-poop-at-people/
1•EveryonePoops•5m ago•0 comments

Apache Kafka vs. Apache Iggy: A Technical Comparision

https://softwaremill.com/apache-kafka-vs-apache-iggy-same-log-different-engine/
1•mmatloka•5m ago•0 comments

SF's drug-addled Union Square gets a rebirth with $75M bet

https://nypost.com/2026/09/01/opinion/san-franciscos-drug-addled-union-square-gets-a-rebirth-with...
1•carlmarks51•5m ago•1 comments

WinBtrfs 1.10 Released with Two Years Worth of Improvements for Btrfs on Windows

https://www.phoronix.com/news/WinBtrfs-1.10
1•DemiGuru•7m ago•0 comments

Foundational Models Became Superhuman in Bash

https://www.philschmid.de/superhuman-bash
1•ingve•7m ago•0 comments

Show HN: Me and 28,000 AI agents built this research; every claim is traceable

https://reports.ag-insights.co.uk/state-of-ai-reasoning/
1•moralec•8m ago•0 comments

Noviz AI Agent for ERPNext – A Reasoning Layer for ERPNext

1•tajdink•8m ago•0 comments

AI agents will choose their own pricing

https://omattos.com/2026/09/02/AI-agents-will-choose-their-own-pricing.html
1•londons_explore•10m ago•0 comments

Agent Experience: who gets to use your service, and what it's worth

https://nader.io/posts/agent-experience/
3•nader•10m ago•0 comments

C++26: Std:Hive

https://www.sandordargo.com/blog/2026/09/02/cpp26-hive
1•ingve•12m ago•0 comments

FloorPoll – live polls your audience joins in one tap

https://floorpoll.app/
1•tshrove•13m ago•0 comments

Fermi Explorer

https://www.fermiexplorer.org
1•ColinWright•14m ago•0 comments

Whistleblower warns about USPS plan for Trump mail voting order

https://www.npr.org/2026/09/01/nx-s1-5950869/trump-mail-in-voting-usps
2•rbanffy•15m ago•0 comments

Apple Joins Google in Renaming Lake Ontario to "Lake America"

https://www.axios.com/2026/09/01/apple-maps-google-lake-ontario-lake-america
3•akyuu•22m ago•4 comments

MCP Is the GraphQL of AI (and That's Fine)

https://aien.me/mcp-is-the-graphql-of-ai-and-thats-fine/
1•aientech•22m ago•0 comments

Three Agents and a Hoodie: A2A Across the Purchase Lifecycle

https://www.umai-tech.com/blog/three-agents-and-a-hoodie-a2a-across-the-purchase-lifecycle
1•dramebaaz•25m ago•0 comments

If AI Writes the Code, Why Is Half of Python's Ecosystem Now Written in Rust?

https://medium.com/@sarathm09/if-ai-writes-the-code-why-is-half-of-pythons-ecosystem-now-written-...
1•syumei•26m ago•0 comments

Show HN: Suwu, an Omarchy inspired web remote shell

https://suwu.liyu1981.xyz
1•liyu1981au•27m ago•0 comments

Critical Next.js RCE Still Missing from GitHub Advisory Database and OSV

https://api.github.com/advisories/GHSA-2xp9-vwfh-vxw4
2•stacktrace•27m ago•1 comments

Don't be the Vitamin B guy: towards scientific rigor for decentralized science

https://hedonicescalator.substack.com/p/dont-be-the-vitamin-b-guy
2•HedonicEscal8r•27m ago•0 comments

Wendell Berry Has Died

https://berrycenter.org/
2•cameron_b•28m ago•0 comments

Agentic SQL for Free with Qwen3.8 27B

https://motherduck.com/blog/Agentic-SQL-for-Free-with-Qwen3.8-27B-and-DuckDB/
1•ijidak•34m ago•0 comments

Uber to Cut 3,300 Jobs in Company Overhaul to Reduce Management Layers

https://www.bloomberg.com/news/articles/2026-09-02/uber-to-cut-3-300-jobs-in-company-overhaul-to-...
4•helsinkiandrew•34m 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.