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Drydock – Agile/TDD Spec Driven Delivery – Initial Release

https://github.com/webcloudstudio/Drydock
1•happyed•12s ago•0 comments

How are people securing their AI access to APIs?

https://requestrocket.com/blog/ai-agent-access-control-landscape
1•geoicons•34s ago•0 comments

You are not in the race against slop cannons

https://hils.substack.com/p/you-are-not-in-the-race-against-slop
1•herbertl•2m ago•0 comments

Easy to USE online PDF Editor with OCR, merge PDFs

https://pixoate.com/pdf-editor
1•HSK11•2m ago•1 comments

Richard Sutton Breaks Away from Keen AI to Start Oak Lab

https://twitter.com/RichardSSutton/status/2076663628301058329
1•tosh•2m ago•0 comments

Reaction: Daemon Scanning Program Outputs for Repeated Patterns and Actions

https://framagit.org/ppom/reaction
1•birdculture•3m ago•0 comments

Truth about battery fires – Gore Street Capital [video]

https://www.youtube.com/watch?v=LDMs7QQqQxE
1•leonidasrup•4m ago•0 comments

Ask HN: What Did You Work On? (June 2026)

2•adithyaharish•5m ago•0 comments

The Magic of Zakkyo Buildings

https://www.noahpinion.blog/p/a-better-way-to-build-a-downtown
1•andsoitis•6m ago•0 comments

Apple M7 Ultra Chip Planned with Up to 1.5 TB of Unified Memory

https://www.techpowerup.com/350711/apple-m7-ultra-chip-planned-with-up-to-1-5-tb-of-unified-memory
3•Tenoke•7m ago•1 comments

LingBot-Video: An open-source MoE video foundation model for embodied AI

https://github.com/robbyant/lingbot-video
1•Kajaking•7m ago•0 comments

Show HN: Hacker News reader with Reddit style comments

https://www.orangecrumbs.com/hn/
1•oyster143•8m ago•0 comments

Laws of Project Management

https://www.lucasfcosta.com/blog/laws-of-software-project-management
1•BerislavLopac•8m ago•0 comments

Make No Assumptions

https://lethain.com/make-no-assumptions/
1•pspeter3•9m ago•0 comments

The State of the AI Economy [pdf]

https://intelligence.exponentialview.co/assets/ev-state-of-ai-economy-2026.pdf
1•gmays•10m ago•0 comments

Pixoate an AI Photo Editor

https://pixoate.com
1•harpal11•10m ago•1 comments

Show HN: A Transformer Is All You Need PT 2L: Precision Brain Surgery

https://zenodo.org/records/21336223
1•KnoxProtocol•10m ago•0 comments

Show HN: Learn OCaml, exercises checked by WASM in browser

https://ocamllearn.vercel.app
1•ioma8•10m ago•0 comments

Meta's Louisiana Data Center Campus to Surpass $250B Price Tag

https://www.bloomberg.com/news/articles/2026-07-13/meta-s-louisiana-data-center-to-surpass-250-bi...
1•alephnerd•10m ago•0 comments

Volkswagen CEO says 50,000 more job cuts may be needed to close competitive gap

https://www.cnbc.com/2026/07/13/volkswagen-ceo-50000-job-cuts-may-be-needed-to-close-competitive-...
4•root-parent•12m ago•1 comments

Revisiting Yliluoma's ordered dither algorithm

https://30fps.net/pages/revisiting-yliluoma-2/
1•ibobev•12m ago•0 comments

Apple Stock Hits Record Territory as Traders Sour on AI Spending

https://www.macrumors.com/2026/07/13/apple-stock-record-territory/
1•datakan•12m ago•0 comments

Oatmeal Spice

https://www.boristhebrave.com/2026/07/05/oatmeal-spice/
1•ibobev•12m ago•0 comments

Commodore 64 Basic Dungeon Crawler

https://retrogamecoders.com/c64-basic-dungeon-part7/
1•ibobev•13m ago•0 comments

Meccha Chameleon

https://store.steampowered.com/app/4704690/MECCHA_CHAMELEON/
1•doener•15m ago•0 comments

Latent Space as a New Medium

https://kk.org/thetechnium/latent-space-as-a-new-medium/
1•arbesman•15m ago•0 comments

crates.io: Development Update

https://blog.rust-lang.org/2026/07/13/crates-io-development-update/
2•dubi_steinkek•17m ago•0 comments

Evaluating the GPT-5.6 Family

https://www.braintrust.dev/blog/gpt56-decision-map
1•mooreds•18m ago•0 comments

I built a website to help artists book their tour

https://stevehofstetter.substack.com/p/i-built-a-website-to-help-artists
1•mooreds•18m ago•0 comments

Spain's mega EU debt proposal sets up showdown with northern European countries

https://www.politico.eu/article/spain-mega-eu-debt-proposal-sets-up-showdown-with-northern-europe...
1•mooreds•19m 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.