frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

AI Slopocalypse 2027

https://www.stephendiehl.com/posts/ai_slop_2027/
1•andsoitis•34s ago•0 comments

Ask HN: Anyone using AI agents for active learning sprints? Here's my setup

1•bhagyeshsp•39s ago•0 comments

Free N8N Workflow Cost Calculator: Cloud vs. Make.com vs. Self-Hosted

https://triumphoid.com/n8n-workflow-cost-calculator/
1•ElizabethSramek•44s ago•0 comments

Renewables and batteries drive down fossil fuel use despite record demand

https://www.abc.net.au/news/2026-04-30/renewables-batteries-drive-down-fossil-fuel-use-/106622772
2•xbmcuser•1m ago•0 comments

The Download: storing nuclear waste and orchestrating agents

https://www.technologyreview.com/2026/04/29/1136666/the-download-nuclear-waste-orchestrated-ai-ag...
1•joozio•1m ago•0 comments

The Kardashev-Marx Scale

https://www.stephendiehl.com/posts/kardeschev/
1•andsoitis•3m ago•0 comments

Why skill match is not enough

https://gudok.xyz/smine/
1•signa11•4m ago•0 comments

Share.google delivers wrong TLS certificate in some regions, breaking shortlinks

https://semonto.com/tools/https-checker
1•micw•4m ago•1 comments

A Field Guide to Bugs

https://www.stephendiehl.com/posts/field_guide_to_bugs/
1•andsoitis•4m ago•0 comments

Ask HN: Why are people leaving GitHub now?

2•l1am0•7m ago•1 comments

Ts-rest – what happens when a 3.3k star OSS project goes dormant

1•e7h4nz•12m ago•0 comments

OWASP PTK 9.9.0 / 9.9.1 is out

1•DenisPodgurskii•21m ago•0 comments

Show HN: RSME:A Reactive Stability Mutation Encryption

https://zenodo.org/records/19712564
1•RanggaS•23m ago•0 comments

A Comparative Security Analysis of Three Cloud-Based Password Managers

https://eprint.iacr.org/2026/058
1•agadius•23m ago•0 comments

Prompt Guidance – GPT-5.5

https://developers.openai.com/api/docs/guides/prompt-guidance
1•amunozo•24m ago•0 comments

RNet: Users pay for their own AI usage instead of apps covering token costs

1•rNetAi•25m ago•0 comments

A Gopher Meets a Crab

https://miren.dev/blog/gopher-meets-crab
1•radimm•33m ago•0 comments

Scott Aaronson on quantum: "Will you heed my warnings NOW?"

https://scottaaronson.blog/?p=9718
5•bwesterb•33m ago•0 comments

I took an algorithm to court in Sweden. The algorithm won

https://www.theguardian.com/commentisfree/2026/apr/30/i-took-an-algorithm-to-court-in-sweden-the-...
3•nickcotter•34m ago•0 comments

How does your team handle cloud cost optimisation?

https://www.kloudaudit.eu/
1•leumasj•34m ago•0 comments

The Czech Prime Minister just reacted to our video

https://www.youtube.com/watch?v=nzDuj42HJ1o
1•dataflow•34m ago•0 comments

Siddharth on X: "Software Is Eating the World (But This Time)"

https://twitter.com/siddharthvader_/status/2049161016156762441
1•kiyanwang•38m ago•0 comments

Ask HN: Recommended Gemini CLI extensions/skills for token consumption

1•elC0mpa•38m ago•0 comments

We never get to what matters

https://yewjin.substack.com/p/why-we-never-get-to-what-matters
1•kiyanwang•42m ago•0 comments

AI Coding Tools Ranked by Community Sentiment: 4 Weeks of Reddit/HN Data (2026)

https://murmure.cc/state-of-ai-devtools-2026
1•ianalyze•43m ago•0 comments

Why the US keeps getting richer while Britain stagnates

https://www.thetimes.com/business/economics/article/why-us-richer-than-uk-rlkshqvq9
3•petethomas•43m ago•0 comments

Hot Updates in Postgres

https://boringsql.com/posts/hot-updates/
1•radimm•44m ago•2 comments

FujiNet Go 800 – Atari800 Emulator for Android – FujiNet

https://fujinet.online/2026/04/23/fujinet-go-800-atari800-emulator-for-android/
1•rbanffy•46m ago•0 comments

Chinese firm revives the drive-in cinema with film-projecting headlights

https://www.thetimes.com/uk/technology-uk/article/chinese-firm-drive-in-cinema-film-projecting-he...
2•petethomas•47m ago•1 comments

Claude Code Opus 4.7: 16B cache reads across 8 sessions, forensic JSONL data

https://github.com/anthropics/claude-code/issues/38350
1•biniruprojects•51m ago•0 comments
Open in hackernews

Ask HN: LLM is useless without explicit prompt

4•revskill•12mo 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•12mo 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•12mo 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•12mo 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.