frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

Async Python client for private DeepSeek API

https://github.com/boykopovar/aiodeepseek
1•boykopovar•2m ago•0 comments

Lessons I Learned from Creating Searx

https://hister.org/posts/lessons-i-learned-from-creating-searx
3•mstef•4m ago•1 comments

Built a live multi-agent AI operations workspace for software engineering teams

https://realtechsolutions.work.gd/
1•MunangiwaR•7m ago•0 comments

QuickSilver Pro – OpenAI-Compatible Platform for DeepSeek V4 and Qwen

https://quicksilverpro.io/
1•charlei•7m ago•1 comments

Book on Truth in the Age of A.I. Contains Quotes Made Up by A.I

https://www.nytimes.com/2026/05/19/business/media/future-of-truth-ai-quotes.html
1•andsoitis•7m ago•0 comments

Pi creator removed from OpenClaw's GitHub organization

https://twitter.com/badlogicgames/status/2057391656379269272
1•rob•8m ago•0 comments

Gillette's Metropolis. A Razor Dystopia

https://passingstrangeness.wordpress.com/2026/05/12/gillettes-metropolis/
1•nephihaha•11m ago•0 comments

KiroGraph: Local code knowledge graph for AI, optimized for token efficiency

https://github.com/davide-desio-eleva/kirograph
1•ddesio•12m ago•0 comments

The three layers: browser, index, AI – what happens when you own all three

https://github.com/the-ai-coop/open-letter
1•the-ai-coop•13m ago•0 comments

Imaging hidden objects with consumer Lidar via motion-induced sampling

https://www.nature.com/articles/s41586-026-10502-x
1•sbulaev•14m ago•0 comments

What Google, Yahoo, Microsoft, and Apple are doing to your email

https://www.jacquescorbytuech.com/writing/what-google-yahoo-microsoft-and-apple-are-doing-your-email
1•iamacyborg•14m ago•0 comments

After 2 years of building, TubeHunt is live

https://tubehunt.io/en/
2•guezth•15m ago•1 comments

Intelligent eyewear is coming this fall

https://blog.google/products-and-platforms/platforms/android/android-xr-io-2026/
1•andsoitis•17m ago•0 comments

Intuit CEO says company's 17% workforce cut had 'nothing to do with AI'

https://www.cnbc.com/2026/05/20/intuit-ceo-says-companys-17percent-workforce-cut-had-nothing-to-d...
2•yacin•20m ago•2 comments

Investors fear another surge in inflation

https://www.economist.com/finance-and-economics/2026/05/19/investors-fear-another-surge-in-inflation
1•andsoitis•21m ago•0 comments

Gixy: Nginx Configuration Static Analyzer

https://github.com/dvershinin/gixy
5•petecooper•31m ago•0 comments

Staged Publishing for NPM Packages

https://docs.npmjs.com/staged-publishing/
2•pimterry•31m ago•0 comments

MPs call out Rockstar Games over alleged union-busting

https://www.computerweekly.com/news/366643401/MPs-call-out-Rockstar-Games-over-alleged-Union-busting
1•beardyw•32m ago•0 comments

Edu-committee wants social media ban to save mental health

https://www.theregister.com/personal-tech/2026/05/21/edu-committee-wants-social-media-ban-to-save...
1•ColinWright•33m ago•0 comments

Paragon Knives – No-frills EDC knives focused on pure utility

https://www.paragon-knives.com/
1•bgzlsxaz•34m ago•0 comments

Why domain valuation metrics fail in voice-first and agentic environments

https://domainalot.substack.com/p/how-to-correctly-value-a-domain-and
1•sonofmarzipan•34m ago•0 comments

I built a HoneyBook alternative after they raised prices 89%

https://quotesign.vercel.app
1•kevoIA•37m ago•0 comments

Auditing Apple's DifferentialPrivacy.framework: Bugs, Misconfig, Practical Risks

https://arxiv.org/abs/2605.21378
1•sbulaev•42m ago•0 comments

Been running Claude Code on Bun Rust port for a few days, can't tell difference

https://twitter.com/jarredsumner/status/2057280896231936258
2•tosh•42m ago•0 comments

Yet another Rust re-write: FalkorDB

https://github.com/FalkorDB/falkordb-rs-next-gen
1•fithisux•44m ago•1 comments

Google officially announces that ads will be included in AI Mode search results

https://blog.google/products/ads-commerce/google-marketing-live-search-ads/
4•sofumel•45m ago•0 comments

Micro GPT written in Excel formulas

https://github.com/pyxll/excel-gpt
1•pyxll•47m ago•0 comments

How's Linear so fast? A technical breakdown

https://performance.dev/how-is-linear-so-fast-a-technical-breakdown
1•SouravInsights•49m ago•0 comments

TextIndex

https://mattgemmell.scot/textindex/
1•Tomte•50m ago•0 comments

The Surprising Divide over What Counts as True

https://reason.com/2026/05/15/the-surprising-divide-over-what-counts-as-true/
2•stared•51m 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.