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A Repository with 44 Years of Unix Evolution

https://www.spinellis.gr/pubs/conf/2015-MSR-Unix-History/html/Spi15c.html
1•lioeters•1m ago•0 comments

A Day at the Park (2013)

https://kiriakakis.net/comics/mused/a-day-at-the-park
1•gebdev•1m ago•0 comments

When Playdate Stopped Being Fun

https://blog.gingerbeardman.com/2025/04/15/when-playdate-stopped-being-fun/
1•latexr•2m ago•0 comments

Quantum Safe E2EE File-Transfer

https://github.com/collapsinghierarchy/noisytransfercli
1•whitenoises•3m ago•1 comments

Organizations Are Distributed Systems

https://www.industrialempathy.com/posts/organizations-are-distributed-systems/
1•smartmic•5m ago•0 comments

Building a 64-Bit OS from Scratch with Claude Code

https://isene.org/2025/11/SimplicityOS.html
1•birdculture•9m ago•0 comments

Cross-Compiling Common Lisp to WASM

https://turtleware.eu/posts/Common-Lisp-and-WebAssembly.html
1•jackdaniel•10m ago•0 comments

Breakdown of Lichess' annual expenses [video]

https://www.youtube.com/watch?v=oEbW1Lv1vus
1•fionnohGoDeo•10m ago•1 comments

Tech Titans Amass Multimillion-Dollar War Chests to Fight AI Regulation

https://www.wsj.com/tech/ai/tech-titans-amass-multimillion-dollar-war-chests-to-fight-ai-regulati...
4•thm•11m ago•0 comments

US Patent Office issues new guidelines for AI-assisted inventions

https://www.reuters.com/legal/government/us-patent-office-issues-new-guidelines-ai-assisted-inven...
1•isaacfrond•12m ago•0 comments

The Generational Burden

https://rodgercuddington.substack.com/p/the-generational-burden
1•freespirt•12m ago•1 comments

Download Snow Linux: The distro with a truly modern design.

https://file.pizza/download/bsyftq6n
1•telui•16m ago•1 comments

Officials Clashed in Investigation of Deadly Air India Crash

https://www.wsj.com/business/airlines/air-india-investigation-conflict-crash-36aed1ee
2•JumpCrisscross•19m ago•0 comments

Great Math Software: List of fun visual math programs

http://xahlee.info/math_software/mathPrograms.html
2•the-mitr•20m ago•0 comments

Better Mood – Journaling with sentiment analysis to track trends

https://better-mood.com/
1•Nukloop•25m ago•0 comments

Cyber-Sleuth Cliff Stoll: How a Mad Genius Exposed Moscow's Hacker Spies

https://spyscape.com/article/how-an-astronomer-unraveled-the-worlds-first-cyber-attack
1•thunderbong•27m ago•0 comments

CME Data-Center Issue Hits Options, Futures Trading

https://www.wsj.com/finance/cme-options-futures-trading-halted-amid-data-center-issue-16e96ed1
1•mhh__•30m ago•0 comments

How Cashfree Payments Built AI-Led Video KYC

https://tech.cashfree.com/how-cashfree-payments-engineered-indias-most-reliable-ai-powered-video-...
1•shritama_saha•32m ago•1 comments

What's the most surprisingly useful thing you've discovered ChatGPT can do?

https://old.reddit.com/r/ChatGPT/comments/1p8linl/whats_the_most_surprisingly_useful_thing_youve/
1•mellosouls•35m ago•0 comments

Fund Teams Can Build a Compliance Tracker Inside Taghash

https://taghash.io/blog/how-fund-teams-can-build-a-compliance-tracker-inside-taghash/
1•koolhead17•36m ago•0 comments

Anduril's autonomous weapons stumble in tests and combat

https://techcrunch.com/2025/11/27/andurils-autonomous-weapons-stumble-in-tests-and-combat-wsj-rep...
2•pomarie•38m ago•0 comments

Multi-package Haskell project with file dispersion done in Cue

https://xlii.space/cue/multi-package-haskell-with-cue/
1•xlii•38m ago•0 comments

My SaaS jumped from $6,523 to $12,648 monthly, here is how

1•nevodavid10•39m ago•0 comments

Too hot to sleep? Take a warm shower

https://www.rnz.co.nz/life/wellbeing/too-hot-to-sleep-take-a-warm-shower
2•colinprince•44m ago•0 comments

The Symbiotic Path

https://github.com/CHHobday/Symbiotic-path
1•CHHobday•45m ago•0 comments

Don't Buy Your Kid a Crappy Bike for Christmas

https://velo.outsideonline.com/urban/urban-gear/5-reasons-buy-quality-kids-bike/
1•docdeek•45m ago•0 comments

Show HN: TinyCompressor – Free, Privacy-First Image/Video/PDF Compression Tool

https://tinycompressor.com
1•arvin2025•46m ago•1 comments

Example.com has been updated after 11 years

https://web.archive.org/web/20251001001217/https://example.com/
5•kevinsimper•49m ago•0 comments

Provide Sweep: Solving the DHT Bottleneck for Self-Hosting IPFS at Scale

https://ipshipyard.com/blog/2025-dht-provide-sweep/
1•2color•50m ago•0 comments

Princeton's Breakthrough Qubit Could Make Quantum Computing Practical

https://scitechdaily.com/princetons-breakthrough-qubit-could-finally-make-quantum-computing-pract...
1•gochuks•51m ago•0 comments
Open in hackernews

Ask HN: LLM is useless without explicit prompt

4•revskill•6mo 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•6mo 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•6mo 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•6mo 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.