frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

Programmers Spend Their Time – Probably Dance

https://probablydance.com/2026/02/10/how-programmers-spend-their-time/
1•birdculture•47s ago•0 comments

Mickey Mouse is watching you: Disneyland deploys facial recognition

https://www.theguardian.com/us-news/2026/apr/28/disneyland-entrance-facial-recognition
1•Cider9986•55s ago•0 comments

The vi Family

https://lpar.ATH0.com/posts/2026/05/the-vi-family/
1•zdw•2m ago•0 comments

I built a game where AI agents compete to ship code; live WASM every 5 minutes

https://aion.quest/
1•xkoda•2m ago•1 comments

On Fundraising

https://talks.natetucker.com/p/on-fundraising
1•azhenley•5m ago•0 comments

More Than Half of Gen Z's Cancel and Renew Streaming Services for a Single Title

https://variety.com/2026/tv/news/gen-z-cancels-streaming-subs-one-show-dont-buy-games-1236739557/
1•ZeidJ•6m ago•0 comments

Anatomy of a GitHub Sponsor Memecoin Consent Gap

https://benemson.com/blog/agents/anatomy-github-sponsor-memecoin-consent-gap
1•emson•6m ago•1 comments

Researcher discovers shortcut to Mars that could cut travel time in half

https://www.livescience.com/space/mars/i-was-not-looking-for-this-scientist-accidentally-finds-sh...
1•bilsbie•6m ago•0 comments

Show HN: TubeLens – Critical analysis of YouTube (4 dimensions, 28 signals)

https://tubelens.app/en
1•mamflux•9m ago•0 comments

Genosyn – Run autonomous companies with AI

https://github.com/genosyn/genosyn
1•ndhandala•9m ago•0 comments

How much the eye tells the brain

https://pubmed.ncbi.nlm.nih.gov/16860742/
2•radeeyate•10m ago•0 comments

T2 SDE Linux Project

https://t2linux.com/about.html
1•indigodaddy•11m ago•0 comments

PCIe 8.0 Spec Draft 0.5 Released for 1TB/S Bi-Directional X16 Bandwidth

https://www.phoronix.com/news/PCIe-8.0-Draft-0.5
2•anonymousiam•14m ago•0 comments

Show HN: Pay.sh – Discover, access, and pay for any API autonomously

https://github.com/solana-foundation/pay
3•fmerian•17m ago•0 comments

Proof of Use against vibe coded software

https://fireharp.com/2026-05-06-proof-of-use-888c47815a
1•fireharp•17m ago•0 comments

EVs now holding their value longer than petrol cars

https://www.thetimes.com/business/companies-markets/article/evs-now-holding-their-value-longer-th...
2•littlexsparkee•17m ago•0 comments

Run multiple versions of the same Python library in one process

https://github.com/claude-at-work/Bubblev2
1•nexusanon•17m ago•0 comments

Recursive grep written in Go benched against a C++ and Rust variant

https://github.com/bep/grrep
1•bjornerik•19m ago•0 comments

MCP Agora open source and local cross-agent persistent memory for AI agents

https://github.com/cioffiAI/mcp-agora
1•cioffiAI•20m ago•0 comments

Lovelace.ai Launches with Context Engine Builder for Mission-Critical AI

https://lovelace.ai/articles/lovelace-emerges-from-stealth-with-industry-defining-context-engine-...
1•tmoertel•20m ago•0 comments

Sim1 – A world where you live alongside AI agents

https://www.sim1.world
1•RoniHenareh•20m ago•0 comments

Zyphra releases the ZAYA1-8B MoE model optimized for intelligence density

https://huggingface.co/Zyphra/ZAYA1-8B
1•mirzap•21m ago•1 comments

Reliable Web App Pattern for .NET

https://learn.microsoft.com/en-us/azure/architecture/web-apps/guides/enterprise-app-patterns/reli...
2•Brysonbw•21m ago•1 comments

Orbit VPS

https://github.com/KenyanRedwoods01/Orbit
1•RedwoodsKenyan•23m ago•0 comments

Data Roles Now Average 24.9 Interview Hours per Hire, Highest Across Tech Roles

https://www.interviewquery.com/p/data-roles-interview-process-2026
2•littlexsparkee•24m ago•3 comments

Mail2github: Send Email and create files in GitHub with Email content

https://github.com/ulrischa/mail2github
1•ulrischa•28m ago•0 comments

GB10 Solution Atlas is now open source, <2min cold start 100 tok/s Qwen3.6-FP8

https://github.com/Avarok-Cybersecurity/atlas
1•azeezish•30m ago•0 comments

Show HN: Vibeguard-dev/local – static AST analysis for AI-generated SQL

https://github.com/MuddySheep/vibeguard-local
2•MuddySheep•30m ago•1 comments

Teleport Contest: Porting NetHack to JavaScript and Dealing with LLM Religion

https://mazesofmenace.ai/announcement/
1•abgruszecki•31m ago•0 comments

Wall Street Millennial: OpenAI Lobbying for Gov Bailout

https://www.youtube.com/watch?v=tiv_LWUzEM8
1•nradov•33m 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.