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Impossible Choices (2019)

https://aeon.co/essays/gregory-bateson-changed-the-way-we-think-about-changing-ourselves
1•robtherobber•1m ago•0 comments

Stanford scientists create shape-shifting material that changes color

https://www.sciencedaily.com/releases/2026/03/260330001140.htm
1•01-_-•9m ago•0 comments

Async Rust in Three Parts

https://jacko.io/async_intro.html
2•fanf2•9m ago•0 comments

A million new SpaceX satellites will destroy the night sky

https://theconversation.com/a-million-new-spacex-satellites-will-destroy-the-night-sky-for-everyo...
3•01-_-•9m ago•0 comments

C89cc.sh – standalone C89/ELF64 compiler in pure portable shell

https://gist.github.com/alganet/2b89c4368f8d23d033961d8a3deb5c19
1•gaigalas•9m ago•1 comments

AI that reads your screenplay like a Hollywood producer, $20/mo unlimited

https://www.gem.studio/
1•anujkommareddy•11m ago•0 comments

Recursive Self-Improving Software Engineering Agents

https://github.com/legel/software_engineering_agents
1•legel•11m ago•0 comments

Agent-first, self-describing APIs with protobuf reflection

https://tpaschalis.me/agentic-protoreflect-apis/
1•tpaschalis•11m ago•0 comments

Solar panels at Lidl? Plug-in versions set to appear in shops

https://www.thisismoney.co.uk/money/bills/article-15673955/Solar-panels-Lidl-Plug-versions-set-ap...
2•ZeljkoS•15m ago•0 comments

Show HN: A sandboxed AI agent that can watch webpages without constant API calls

https://github.com/Grimm67123/GrimmBot
3•grimm8080•16m ago•1 comments

StEnSea – Stored Energy in the Sea

https://www.iee.fraunhofer.de/en/topics/stensea.html
1•fodmap•17m ago•0 comments

Axios vs. Fetch (2025 update): Which should you use for HTTP requests?

https://blog.logrocket.com/axios-vs-fetch-2025/
1•mariuz•18m ago•0 comments

GoDaddy Goes All-In on AWS

https://aboutus.godaddy.net/newsroom/news-releases/press-release-details/2018/GoDaddy-Goes-All-In...
1•amalfra•18m ago•1 comments

Replace axios with a simple custom fetch wrapper

https://kentcdodds.com/blog/replace-axios-with-a-simple-custom-fetch-wrapper
2•mariuz•18m ago•0 comments

Castles in the Air – It's Still Just as Rewarding

https://media.pragprog.com/newsletters/2026-03-25.html
2•henrik_w•19m ago•0 comments

Mothlamp Problems

https://unfoldingdiagrams.leaflet.pub/3mft6olldos26
1•birdculture•24m ago•0 comments

BlindKey – Blind credential injection for AI agents (open source)

https://github.com/michaelkenealy/blindkey
1•flying_mike•25m ago•1 comments

Stop using ldflags to embed Go build information

https://github.com/imjasonh/version
1•ImJasonH•26m ago•1 comments

New Steve Jobs video from 99: Speech at the Apple campus

https://www.youtube.com/watch?v=DBYSK1FJvnM
1•sgt•27m ago•0 comments

Atombite.ai Deep Dive: Building a Takeout Packing Robot Is Harder Than You Think

2•emmanol•28m ago•0 comments

Why DoorDash is rebuilding its engineering interviews around AI

https://careersatdoordash.com/blog/doordash-is-rebuilding-its-engineering-interviews-around-ai/
1•mellosouls•30m ago•0 comments

tinygrad: Mnist Tutorial

https://docs.tinygrad.org/mnist/
1•tosh•31m ago•0 comments

Germany's economic forecast more than halved over Iran war

https://uk.finance.yahoo.com/news/german-institutes-cut-2026-economic-064827219.html
1•timokoesters•31m ago•0 comments

Okapi, or "What if ripgrep Could Edit?"

https://kocharhook.com/post/6/okapi-or-what-if-ripgrep-could-edit/
3•mpweiher•36m ago•0 comments

Interesting solar power breakthrough in Yorkshire, UK

https://petergarner.net/notes.php?thisnote=20260401-Solar+Power+Breakthrough+in+Yorkshire.html
3•FerretFred•37m ago•0 comments

The Claude Code Source Leak

https://www.latent.space/p/ainews-the-claude-code-source-leak
2•perpetua•38m ago•1 comments

Show HN: DDNS for Cloudflare Domains Using Cloudflare Workers

https://github.com/okikio/cloudflare-ddns
2•okikio•39m ago•0 comments

List of Common Scams

https://old.reddit.com/r/Scams/wiki/index/common-scams/
1•meander_water•39m ago•0 comments

Rethinking "2PC is not an option in Microservices"

https://medium.com/scalar-engineering/rethinking-2pc-is-not-an-option-in-microservices-a3a4e8523fcb
1•feeblefakie•39m ago•0 comments

Show HN: Stack Detector – a clean, fast tech stack analyzer (5K+ scans)

2•rahulbstomar•40m ago•2 comments
Open in hackernews

Ask HN: LLM is useless without explicit prompt

4•revskill•11mo 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•11mo 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•11mo 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•11mo 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.