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Effective Strategies for Asynchronous Software Engineering Agents

https://arxiv.org/abs/2603.21489
1•simonpure•1m ago•0 comments

Artemis II is not safe to fly

https://idlewords.com/2026/03/artemis_ii_is_not_safe_to_fly.htm
1•idlewords•2m ago•0 comments

How the Solar Wind Works

https://phys.org/news/2026-03-solar.html
1•y1n0•4m ago•0 comments

Put the Certificate Down

https://awakenedvoices.substack.com/p/put-the-certificate-down
1•sacredcam•8m ago•0 comments

See the Computers That Powered the Voyager Space Program

https://hackaday.com/2026/03/30/see-the-computers-that-powered-the-voyager-space-program/
1•y1n0•8m ago•0 comments

Pete Hegseth's broker looked to buy defence fund before Iran attack

https://www.ft.com/content/744ea8dc-6d93-4fe9-a5e3-36de4f5d06db
1•petethomas•9m ago•0 comments

Arbitrary Code Execution Discovered in Super Mario Bros 1 (1985)

https://tasvideos.org/10297S
1•sciolistse•10m ago•0 comments

Show HN: Agent Red Team – Adversarial testing for AI agents before production

https://agentredteam.ai
1•LukataSolutions•11m ago•0 comments

Release Engineering Lessons from Google and Facebook

https://morrigan-tech.com/blog/release-engineering-lessons/
1•gpi•15m ago•0 comments

Anthropic's Claude popularity with paying consumers is skyrocketing

https://techcrunch.com/2026/03/28/anthropics-claude-popularity-with-paying-consumers-is-skyrocket...
2•gmays•16m ago•1 comments

Gnome 50 dropped support for accessing Google Drive files

https://www.omgubuntu.co.uk/2026/03/google-drive-not-working-nautilus-ubuntu-26-04
1•bundie•17m ago•0 comments

The smallest pixel art diffusion app using local AI on a mobile phone

https://github.com/cochranblock/pixel-forge
1•cochranblock•25m ago•1 comments

The sheep farmer turned a 1-800 call to coal giant AGL into a solar grazing deal

https://reneweconomy.com.au/the-sheep-farmer-who-turned-a-1800-call-to-coal-giant-agl-into-a-majo...
1•MaysonL•27m ago•1 comments

OpenAI ChatGPT fixes DNS data smuggling flaw

https://www.theregister.com/2026/03/30/openai_chatgpt_dns_data_snuggling_flaw/
1•abdelhousni•31m ago•0 comments

What you think about this product Middle East War NEWS

https://middleeastwar.news
1•AshIsFounder•32m ago•0 comments

Function Calling Harness: From 6.75% to 100%

https://autobe.dev/blog/function-calling-harness-qwen-meetup-korea/
1•gmays•32m ago•0 comments

Every table should be a spreadsheet

https://www.saj.ad/2026/table
2•dajas•33m ago•0 comments

Before the Story – A Word on Noise

https://awakenedvoices.substack.com/p/before-the-story
2•sacredcam•35m ago•0 comments

MaaS Updates

https://www.hpc-ai.com/model-apis
1•hpcaitech•35m ago•0 comments

FrameCapture – ScreenStudio but Free

https://framecapture.pro
1•SoldierSacha•36m ago•2 comments

Curious. anyone here allow agents to make purchase decisions of >$100?

2•adityasriram•36m ago•0 comments

Active Supply Chain Attack on axios 1.14.1

3•lemax•37m ago•0 comments

F1 in Japan: Oh no, what have they done to all the fast corners?

https://arstechnica.com/cars/2026/03/f1-in-japan-oh-no-what-have-they-done-to-all-the-fast-corners/
2•y1n0•38m ago•0 comments

Updated Apple Developer Program License Agreement Now Available

https://developer.apple.com/news/?id=fwswmjcn
1•surprisetalk•38m ago•0 comments

Keep Momentum – Android app for tracking job applications

https://keepmomentum.app/
1•lmhansen•39m ago•0 comments

Let Claude use your computer from the CLI

https://code.claude.com/docs/en/computer-use
1•taspeotis•46m ago•0 comments

Using complex polynomials to approximate arbitrary continuous functions (2025)

https://www.lesswrong.com/posts/9gNewBQCF47FyjYfw/using-complex-polynomials-to-approximate-arbitrary
1•measurablefunc•49m ago•0 comments

Explore Benjamin Franklin's Science on NotebookLM

https://blog.google/company-news/outreach-and-initiatives/arts-culture/benjamin-franklin-notebooklm/
2•y1n0•50m ago•0 comments

From static findings to runtime exploits: testing 6 popular MCP servers

https://agentseal.org/blog
3•Resham_Joshi•51m ago•0 comments

Retraining my terrible typing habits

https://technicallychallenged.substack.com/p/retraining-my-terrible-typing-habits
2•koinedad•54m ago•0 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.