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Claude Skill for Terraform/OpenTofu – testing, modules, CI/CD, and prod patterns

https://github.com/antonbabenko/terraform-skill
1•antonbabenko•1m ago•1 comments

Awesome-ralph: A curated list of resources about Ralph, the AI coding technique

https://github.com/snwfdhmp/awesome-ralph
1•snwfdhmp•5m ago•0 comments

Coding Adventure: Ray Tracer

https://www.youtube.com/playlist?list=PLFt_AvWsXl0dlgwe4JQ0oZuleqOTjmox3
1•ivanjermakov•8m ago•0 comments

The surprising benefits of standing on one leg

https://www.bbc.com/future/article/20260114-the-surprising-benefits-of-standing-on-one-leg
1•1659447091•8m ago•0 comments

Show HN: Aeph – Just a paper for your terminal, not an editor

https://github.com/siki-712/aeph
2•ovonvo•9m ago•0 comments

How the Book of Mormon Unlocks the Book of Revelation [video]

https://www.youtube.com/watch?v=dPgMZxCslWU
1•beeburrt•9m ago•1 comments

Simple Invoicing for Independent Work

https://www.defray.com
1•grinry•12m ago•0 comments

Building Robust Helm Charts

https://www.willmunn.xyz/devops/helm/kubernetes/2026/01/17/building-robust-helm-charts.html
1•will_munn•12m ago•0 comments

Transcribe Audio to Text

https://transcribetotext.org
1•jiangyifeng•13m ago•0 comments

A Peek into Einstein's Zurich Notebook

https://sites.pitt.edu/~jdnorton/Goodies/Zurich_Notebook/
1•nill0•14m ago•0 comments

Hysterical Maps of the Lindgren Brothers

https://www.geographicus.com/blog/hysterical-maps-of-the-lindgren-brothers-a-cartobibliograpy.html
2•jruohonen•15m ago•0 comments

1Password SSH agent and CLI for secret management

https://marending.dev/notes/keys-in-pm/
2•beingflo•15m ago•0 comments

Learning better decision tree splits – LLMs as Heuristics for Program Synthesis

https://mchav.github.io/learning-better-decision-tree-splits/
1•internet_points•15m ago•0 comments

Adaptive Privacy Budgeting

https://arxiv.org/abs/2601.10866
1•7777777phil•18m ago•0 comments

BitChat.land – Global Bitchat relay overview

https://bitchat.land/
1•cdecker•19m ago•0 comments

Recommend for a Sudoku website without ad

https://lovesudoku.app/
1•TrendSpotterPro•20m ago•0 comments

Variation on Iota

https://www.toolofthought.com/posts/variation-on-iota
1•aebtebeten•22m ago•0 comments

Cataloging Failed VC-Backed Startups and Re-Evaluating Them in 2026

https://loot-drop.vercel.app/
2•manthangupta109•24m ago•0 comments

Trump Is Obsessed with Yesterday's Energy. China Is Focused on the Future

https://www.nytimes.com/2026/01/19/opinion/trump-energy-china-future.html
4•ciconia•26m ago•1 comments

Show HN: Winter swimming tracker that stores data in local storage

1•tjomk•28m ago•0 comments

Copilot Studio Extension for Visual Studio Code Is Now Generally Available

https://devblogs.microsoft.com/microsoft365dev/copilot-studio-extension-for-visual-studio-code-is...
1•rbanffy•28m ago•0 comments

A Letter to My Future Son: The Only Advice I'll Ever Give

https://twitter.com/ojhavu/status/2013174485332201804
1•gopal_virtual•30m ago•1 comments

Show HN: Cursor-helper: move projects and export chats with thinking/toolcall

https://github.com/lucifer1004/cursor-helper
1•gabriel_wu•31m ago•0 comments

Do You Trust Me? Cognitive-Affective Signatures of Trustworthiness in LLMs

https://arxiv.org/abs/2601.10719
1•7777777phil•32m ago•0 comments

I was a top 0.01% Cursor user. Here's why I switched to Claude Code 2.0

https://blog.silennai.com/claude-code
1•SilenN•32m ago•0 comments

State of ClojureScript 2025 Survey results

https://state-of-clojurescript.com/
3•adityaathalye•32m ago•0 comments

Trump Links Greenland Threats to Nobel Peace Prize Snub

https://www.bloomberg.com/news/articles/2026-01-19/trump-links-greenland-threats-to-nobel-peace-p...
6•mikaelmello•34m ago•1 comments

On coding with LLMs

https://www.abareplace.com/blog/ai/
1•abareplace•34m ago•0 comments

Vibe coding has a 12x cost problem. maintainers are done

https://webmatrices.com/post/vibe-coding-has-a-12x-cost-problem-maintainers-are-done
2•dilawar•35m ago•1 comments

When Optimization Replaces Knowing

https://www.aivojournal.org/when-optimization-replaces-knowing/
1•businessmate•36m ago•1 comments
Open in hackernews

Ask HN: LLM is useless without explicit prompt

4•revskill•8mo 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•8mo 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•8mo 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•8mo 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.