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I built a macOS app to monitor all my Claude Code sessions at once

https://github.com/ozankasikci/agent-sessions
1•ozankasikci•1m ago•1 comments

Data Mesh Theology. Dead or Alive?

https://dataengineeringcentral.substack.com/p/data-mesh-theology-dead-or-alive
1•dancrystalbeach•1m ago•1 comments

Cosmonaut Artemyev excluded from Crew-12 for photographing SpaceX documents

https://theins.ru/news/287330
1•HelloUsername•4m ago•0 comments

The Data on Self-Driving Cars Is Clear. We Have to Change Course

https://www.nytimes.com/2025/12/02/opinion/self-driving-cars.html
3•apparent•4m ago•2 comments

Investing in the Python Ecosystem – Vercel

https://vercel.com/blog/investing-in-the-python-ecosystem
1•daniel_levine•4m ago•0 comments

Ask HN: How do startups protect early inventions without overspending?

2•samyiqer•7m ago•0 comments

The Minimum Every Developer Must Know About AI Models (No Excuses)

https://blog.kilo.ai/p/minimum-every-developer-must-know-about-ai-models
1•boleary-gl•7m ago•0 comments

Beyond Parallel Discovery: Comparing consciousness theories based on testability

https://medium.com/@furkanelmass077/beyond-parallel-discovery-why-ztgi-offers-a-more-testable-app...
1•capter•8m ago•1 comments

A nationwide internet age verification plan is sweeping Congress

https://www.theverge.com/policy/830877/app-store-age-verification-act-pinterest-endorsement
2•CGMthrowaway•9m ago•0 comments

What You Do and Who You Are

https://www.jasonscheirer.com/weblog/ser-estar/
1•mooreds•9m ago•0 comments

Q2REPRO: Drop-in replacement of the Kex Quake II re-release engine

https://github.com/Paril/q2repro
2•klaussilveira•9m ago•0 comments

What Is a Body For?

https://longreads.com/2025/12/02/extreme-outdoor-adventure-motherhood/
1•mooreds•9m ago•0 comments

iPSC-Derived Islet Transplant Under Rectus Sheath in T1D

https://www.cell.com/cell/fulltext/S0092-8674(24)01022-5
1•surprisetalk•10m ago•0 comments

Atlas: Coding Agent for Legacy Codebases

https://github.com/astrio-ai/atlas
1•NolanLwin•11m ago•0 comments

Discovering APIs with Knowledge Graphs

https://jdsemrau.substack.com/p/discovering-apis-with-knowledge-graphs
2•ph4rsikal•11m ago•0 comments

Samsung reveals Galaxy Z TriFold with 10" foldable screen, astronomical price

https://arstechnica.com/gadgets/2025/12/samsungs-galaxy-z-trifold-is-a-10-inch-tablet-that-fits-i...
1•SilverElfin•12m ago•1 comments

Show HN: Leado – AI agent for Reddit that drafts contextual replies using RAG

https://leado.co
1•leado•12m ago•0 comments

The end of progress against extreme poverty?

https://ourworldindata.org/end-progress-extreme-poverty
1•surprisetalk•13m ago•0 comments

Eric Gilliam on the real reason scientific progress has slowed down [video]

https://www.youtube.com/watch?v=MZfxEi6mPDo
1•surprisetalk•13m ago•0 comments

The Limits of Spec-Driven Development

https://isoform.ai/blog/the-limits-of-spec-driven-development
4•BraveSpaceDog•13m ago•2 comments

Market Volatility Underscores Epic Buildup of Global Risk

https://www.nytimes.com/2025/11/25/business/economy/stocks-bitcoin-markets-risk.html
1•zerosizedweasle•13m ago•3 comments

Elon Musk's Foundation Grows to $14B, but Gives Little to Outsiders

https://www.nytimes.com/2025/12/02/us/politics/elon-musk-foundation.html
2•ceejayoz•14m ago•1 comments

Coding standards and quality gates for PMs using AI to code

https://github.com/breethomas/pm-coding-guardrails
1•mooreds•14m ago•0 comments

Is there anything in the soul document you don't agree with?

https://claude.ai/share/5d65f797-2a87-40d1-aa15-fb8f1abf6604
1•RyanShook•17m ago•0 comments

YASA has put its axial flux motor into a powertrain boasting 1,000 bhp per wheel

https://electrek.co/2025/12/02/yasa-record-setting-axial-flux-motor-in-wheel-powertrain-1000-bhp/
3•breve•19m ago•0 comments

Asterinas NixOS

https://asterinas.github.io/book/rfcs/0002-asterinas-nixos.html#rfc-0002-asterinas-nixos
2•aoli-al•19m ago•0 comments

Schedule Recurring Calls with Your Far-Away Friends

https://benjamincongdon.me/blog/2025/12/01/Schedule-Recurring-Calls-With-Your-Far-Away-Friends/
2•speckx•19m ago•2 comments

Head of Germany's Sovereign Tech Agency believes that Europe must invest in OSS

https://english.elpais.com/technology/2025-11-30/adriana-groh-the-internet-works-thanks-to-a-shar...
6•doener•22m ago•0 comments

Steam Machine today, Steam Phones tomorrow (Windows Gaming on Arm)

https://www.theverge.com/report/820656/valve-interview-arm-gaming-steamos-pierre-loup-griffais
5•evolve2k•23m ago•0 comments

Hackers breach texting service used by New York state, sending many scam texts

https://www.nbcnews.com/tech/security/text-scam-phone-sms-hack-message-fake-transaction-call-new-...
3•gnabgib•24m ago•0 comments
Open in hackernews

Ask HN: LLM is useless without explicit prompt

4•revskill•7mo 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•7mo 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•7mo 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•7mo 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.