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Dimitri Fontaine: Zero-downtime Postgres upgrades with logical replication

https://tapoueh.org/blog/2026/10/zero-downtime-postgres-upgrades-with-logical-replication/
1•hnd9q09qk4•5s ago•0 comments

Firefox 158

https://www.firefox.com/en-US/firefox/158.0/releasenotes/
2•todotask2•30s ago•0 comments

Better Portal – A macOS TUI for Higher-Bitrate PS5 Remote Play

https://github.com/wchwawa/better-portal
1•wchwawa•1m ago•0 comments

AI godfather Geoffrey Hinton: Trump is 'corrupt, senile felon' who knows nothing

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1•hkhn•2m ago•0 comments

Grace Hopper Celebration (GHC) 2026 Cancelled

https://anitab.org/press-release
1•pbui•2m ago•0 comments

NASA's Perseverance Sets Off-World Record for Total Distance Driven

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How much are coding and making music alike?

https://galjot.si/is-coding-like-making-music
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Consortium Building Denmark–Germany Fehmarnbelt Tunnel Targeted by Cyberattack

https://nyheder.tv2.dk/live/samfund/2026-10-13-femern-byggeri-ramt-af-hackerangreb
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After an 8 year pause venerable LAN Messenger is back in development

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The Design of Recipes on the Internet

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Show HN: Sota-anchor – check what was shipped since cut-off before rebuilding it

https://github.com/luckmanqasim/sota-anchor
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China is building AI data centers at speed as the US wrestles with the costs

https://mezha.net/eng/news/mezha-28304fbbe08e489bfe006d9c_china_is_building/
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Show HN: A release-management playbook for regulated engineering teams

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Tesla Renames 'Full Self-Driving' to 'Tesla Assisted Driving' in Europe

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Show HN: Calíope – a native database client for every Apple screen

https://caliope.org/
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China races to build data centres in bid for AI supremacy

https://www.ft.com/content/e1dd8bff-b06d-4a40-bbb7-c0a6a36f1c8e
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How 94 internet-famous engineers use coding agents

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Why Companies Are Quietly Rehiring Software Engineers [video]

https://www.youtube.com/watch?v=JkHXyd652k8
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Behind AI's call for independent reviews, a fight over what gets made public

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How to Investigate an Agent Incident End to End with ZizkaDB

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Marc Andreessen reveals why housing, health care, and edu getting more expensive

https://twitter.com/jaynitx/status/2109957970591412722
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BB(10) > Graham's Number

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Who lost my lap infant?

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Fine-tuned Llama 3.1 8B vs. Claude Sonnet 5 on 437 legal clauses

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Show HN: MemorySync – Memory for AI Agents

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Show HN: Link and visualise places in your notes with Markdown and wikilinks

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It took me nine years to hack my Xbox 360

https://kennedn.com/blog/posts/glitching/
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SubQ Snap – First Long-Context Decision Model for Real Enterprise Work

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1•epaga•23m 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.