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Show HN: An honest comparison of the Agent Harness vs. six alternatives

https://time2magic.com/agent-harness
1•bishopz•4m ago•0 comments

Before and After Photos Show Data Centers Furiously Popping Up Across America

https://petapixel.com/2026/09/19/before-and-after-photos-show-data-centers-furiously-popping-up-a...
1•andsoitis•5m ago•0 comments

Breaking a four year hiatus to talk about the export keyword (PEPs 842 and 843)

https://aroberge.blogspot.com/2026/09/breaking-four-year-hiatus-to-talk-about.html
1•lumpa•5m ago•0 comments

Show HN: Primescript – Academic Markdown editor with vector search and LaTeX

https://primescript.com
1•mac-r•6m ago•0 comments

Show HN: A Mondrian-style puzzle block game

https://game.wdamao.com/mondrian-blocks/
1•wdamao•7m ago•1 comments

A Calendar of Smells

https://worldsensorium.com/a-calendar-of-smells/
1•dnetesn•8m ago•0 comments

A space war played in SQL

https://schemaverse.com/
1•thunderbong•8m ago•0 comments

Solitaire Alone Together

https://eieio.games/blog/solitaire-alone-together/
1•anitil•9m ago•1 comments

An Ocean Planet in Space

https://blue-continuum.com/an-ocean-planet-in-space
2•dnetesn•10m ago•0 comments

EZ4: A reflection-driven alternative to AWS CDK for serverless apps

https://github.com/sbalmt/ez4
2•sbalmt•14m ago•0 comments

Ask HN: How do you sell a small bootstrapped SaaS?

2•hpsilab•16m ago•0 comments

A 7B fact-checker beat 30B LLM reviewers and deleted no true claims

https://openteams.com/llm-review-reliability/
3•khuyentran1401•16m ago•0 comments

The World After Capital (2024)

https://worldaftercapital.org/
2•measurablefunc•18m ago•0 comments

How Your Internet Traffic Gets There: IXPs and Peering

https://community.ipinfo.io/t/how-your-internet-traffic-actually-gets-there-ixps-peering-and-why-...
2•shubhamjain•20m ago•0 comments

A Programming Mentality

https://www.natemeyvis.com/a-programming-mentality/
1•meetpateltech•22m ago•0 comments

Vibes vs. Evidence: What delivers AI code review quality

https://dsifry.github.io/harnesseval/
2•pjf•22m ago•0 comments

What Makes Jev Different from Other LLMs? A Simple Explanation

https://medium.com/@dolevietthang/what-makes-jev-different-from-chatgpt-and-claude-a-simple-expla...
1•vietthangif•22m ago•0 comments

Silicon Valley Saw the iPhone Coming 13 Yrs Before Apple [video]

https://www.youtube.com/watch?v=34dAyDUglrI
1•Teever•24m ago•0 comments

Something bugs me about AGI AI LLM, what if we back paddled 1000 year

https://shatteringtheabyss.substack.com/p/llm-agi-god-congratulations-humanity
1•vseedstriker•25m ago•1 comments

Context compaction, measured: FutureOS vs. Codex vs. OpenCode

https://future-os-blog.github.io/posts/context-compaction-measured.html
1•thetechlead•31m ago•0 comments

Major air traffic controller outage triggers flight chaos [video]

https://www.youtube.com/watch?v=gHUZ9W025lA
2•shinryudbz•32m ago•0 comments

Meta's Muse Is Better at Surveilling Than Helping Me

https://www.wired.com/story/metas-muse-is-better-at-surveilling-than-helping-me/
2•the-mitr•35m ago•0 comments

Android Bench 2.0 – Long Horizon Android Development Benchmark

https://developer.android.com/bench
1•bentrengrove•37m ago•0 comments

FloatLib: Verified Floating-Point Arithmetic in Lean

https://leandojo.org/floatlib.html
1•matt_d•43m ago•0 comments

Driscoll's Gave China Its Blueberries–Then China Swiped the Secret to Growing Th

https://www.wsj.com/business/driscolls-berry-farms-china-competition-b0b49f04
4•harry_nutsachs•45m ago•0 comments

Open-Sourcing Rebalancer: High-Performance Assignment Problem Solver

https://engineering.fb.com/2026/09/21/open-source/rebalancer-generic-high-performance-library-ass...
1•iamsyr•47m ago•0 comments

Lifestreams: A storage model for personal data (1996)

https://dl.acm.org/doi/10.1145/381854.381893
1•dgudkov•49m ago•0 comments

A zero-day has been released for Meta's Muse

https://github.com/pwardle/not-a-mused
2•momentmaker•49m ago•0 comments

I built an autonomous accounting tool to let AI do my taxes

https://github.com/CodeGameDev29/KFAutonomousAccounting
4•7eleven2007•49m ago•1 comments

Google fined more than €400M by Irish regulator over its use of location data

https://www.theguardian.com/technology/2026/sep/21/google-is-fined-more-than-400m-by-irish-regula...
1•MC995•49m 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.