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Naïve raises $28.5M to automate setting up and running a company

https://techcrunch.com/2026/08/06/naive-raises-28-5m-to-automate-the-grunt-work-of-setting-up-and...
1•ashurandi•1m ago•1 comments

Ask HN: I've always thought about my opinion and I'd like you to know that

1•bahmboo•5m ago•0 comments

Beyond Origin Validation: Four Classes of Routing Attack Nobody Is Validating

https://labs.ripe.net/author/antonio-prado/beyond-origin-validation-four-classes-of-routing-attac...
1•m_montazeri•6m ago•0 comments

Docker Sandboxes – Disposable, isolated sandboxes for AI agents

https://www.docker.com/products/docker-sandboxes/
6•etoxin•12m ago•0 comments

Decart Exploring Sale, Possibly SpaceX

https://www.calcalistech.com/ctechnews/article/hjhzrluuml
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Zooza

https://www.zooza.online/
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What is WAL backpressure, and why does ClickHouse Managed Postgres need it?

https://clickhouse.com/blog/wal-backpressure-clickhouse-managed-postgres
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Escaping the LLM Coding Rat Race

https://aaronstannard.com/escaping-ai-coding-ratrace/
1•kiyanwang•22m ago•0 comments

Production support agents that read your code and your database, via MCP

https://medium.com/@rahulgolwalkar/the-support-agent-that-actually-reads-your-code-and-your-produ...
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Show HN: Teaching agents how to play Factorio (using RLM, GEPA)

https://github.com/ukituki/dspy-factorio/
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We are still early (quiz for the graph we all know)

https://early.stevenmoody.com/
1•tillcarlos•27m ago•1 comments

Seas have hit hottest temperature on record for July

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Thai school shooter learnt how to use guns via social media

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How Much Does Web Hosting Cost in 2026? Prices Compared

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Monopoly Round-Up: Regulation of engagement algorithms is on the horizon

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Archive.st - Archive a Webpage

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Qwen-MM-Plugins

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Why do we assume everyone should be working?

https://wilsoniumite.com/2026/08/10/why-do-we-assume-everyone-should-be-working/
27•Wilsoniumite•58m ago•22 comments

Therapy Needs to Get Help

https://www.nytimes.com/2026/08/09/opinion/therapy-neuroscience-perception.html
2•ed•1h ago•0 comments

PON-Beam: Notification-Oriented Beam Erlang VM

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Ask HN: Do people with authism have emotions?

1•soltanov•1h ago•2 comments

Harry Potter almost derailed a major UK interconnector project

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Show HN: Memcode AI goes open source with Claude Code inspired coding agent

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Act like it is science

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3•thedreammachine•1h ago•0 comments

md-whispr

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AI Coding Clients Are Reading Each Other's Personal Instructions

https://runtimewire.com/article/ai-coding-clients-are-reading-each-other-s-personal-instructions
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1•lmv_builds•1h ago•0 comments

Take-home assessments to be banned in school AI overhaul

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1•Alien1Being•1h ago•0 comments

HCCL: Collective Communication for Meta Training and Inference Accelerators

https://arxiv.org/abs/2608.00358
1•matt_d•1h ago•0 comments

Migrate from GitHub Container Registry (GHCR) to Vercel Container Registry (VCR)

https://vercel.com/kb/guide/migrate-ghcr-to-vcr
1•flashbrew•1h 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.