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Ask HN: How do I do marketing for an app I made

1•rohand7•37s ago•0 comments

Setting Node and PNPM Versions in Cloudflare Workers Programmatically

https://senhongo.com/blog/cloudflare-workers-node-pnpm/
1•SenHeng•2m ago•0 comments

List of RL Env and Human Data Startups

https://aidata.runruntime.dev/
1•warthog•3m ago•0 comments

Farside: Alternative front ends to many sites

https://farside.link/
1•memalign•3m ago•0 comments

Kronotop: Distributed, transactional document database on FoundationDB

https://github.com/kronotop/kronotop
1•mastabadtomm•4m ago•0 comments

Show HN: RAIF – an experimental structured I/O format for LLMs

https://github.com/skrrt-sh/raif-standard
1•truehazker•8m ago•1 comments

Abu Fanous

https://en.wikipedia.org/wiki/Abu_Fanous
2•joebig•10m ago•0 comments

Zinnia: A modular 64-bit Unix-like kernel written in Rust

https://zinnia-os.org/
5•mrunix•12m ago•0 comments

Brains And LLMs Converge On A Shared Conceptual Space Across Different Languages

https://arxiv.org/abs/2506.20489
2•optimalsolver•14m ago•0 comments

Proteus the Infinite Fractal Object

https://sand-morph.up.railway.app/proteus-2
2•echohive42•14m ago•0 comments

The Visa Empire: Borders as a Business

https://www.lighthousereports.com/investigation/the-visa-empire-borders-as-a-business/
1•karakoram•15m ago•0 comments

Angry Meta employee hijacks company presentation unleash profanity-laced tirade

https://www.dailymail.com/news/article-15897199/Meta-employee-hijacks-company-presentation-unleas...
3•Bender•15m ago•0 comments

More Expensive, Somehow Worse [video]

https://www.youtube.com/watch?v=5k-j4VVCVR8
1•Bender•16m ago•0 comments

Hillock – Local, brain-inspired AI memory using SQLite and HDC

https://github.com/roandejager/Hillock
1•roandejager•17m ago•0 comments

Fermat's last theorem in the natural ring of ordinals

https://www.infinitelymore.xyz/p/fermats-last-theorem-in-the-ordinals
2•FillMaths•17m ago•0 comments

Show HN: Buildtopia1 – A sandbox game where an AI builds for you with chat

https://buildtopia1.com
1•dtran24•18m ago•0 comments

SillyTavern provides a single unified interface for many LLM APIs

https://github.com/SillyTavern/SillyTavern
1•doener•19m ago•0 comments

Multimodal Neurons in Artificial Neural Networks

https://distill.pub/2021/multimodal-neurons/
1•montyanderson•20m ago•0 comments

Changing Careers, Cutting Expenses: Software Engineers Contend with AI

https://www.wsj.com/lifestyle/careers/changing-careers-cutting-expenses-software-engineers-conten...
2•variety8675•21m ago•1 comments

RhinoCollab a plugin for real-time editing for Rhino 3D

https://rhinocollab.com
1•Ashxius•33m ago•0 comments

The APLR(1) algorithm for compact LR(1) parsers is simpler and more capable than

https://branchtaken.com/reports/aplr1/aplr1
3•fanf2•34m ago•0 comments

Compiling Isn't Running: Functionally Testing DuckDB-WASM Extensions

https://rusty.today/blog/testing-duckdb-wasm-extensions/
1•rustyconover•38m ago•0 comments

Show HN: AI Cell Enrichment Workflow API

https://ampledata.io
1•blagoysimandoff•40m ago•0 comments

Grasping Exponentialism, Efficient AI, Talent Density, & the Pursuit of Together

https://www.implications.com/p/grasping-exponentialism-efficient
1•momentmaker•41m ago•0 comments

Smaller Code, Better Code

https://www.sacrideo.us/smaller-code-better-code/
2•tosh•44m ago•1 comments

The University in the AI Era

https://htmx.org/essays/universities-and-ai/
1•_doctor_love•47m ago•0 comments

Show HN: Folent – interpolate text between different font typefaces

https://mabugis.github.io/Folent/
1•mabugis•47m ago•0 comments

Agents as Code

https://destiner.io/blog/post/agents-as-code/
1•Destiner•47m ago•0 comments

Section 702 lapsed for the first time since 2008

https://www.axios.com/2026/06/14/trump-fisa-renewal-save-america-act
2•Arodex•48m ago•1 comments

Show HN: Tool for creating step-by-step tutorials from screen recordings. No AI

https://framepin.com/
3•aksuta•50m 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.