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Is Jev the general-purpose classifier we've been waiting for?

https://twitter.com/kris_cvetko/status/2101614168763695308
1•kncvetko•4m ago•1 comments

Dragonfly 2.0: more performance for Redis and Memcached replacement

https://www.phoronix.com/news/Dragonfly-2.0-Released
2•joshcsimmons•4m ago•0 comments

AI and the Destruction of the Creative Commons

https://www.chesterwisniewski.com/post/2026-09-13-ai-is-destroying-the-creative-commons/
1•rakel_rakel•6m ago•0 comments

Show HN: WTF > Auto-check what your coding agent changed

https://github.com/LinusInnovator/wtf
1•Linusinnovator•8m ago•0 comments

Joe Shipman proves marked ruler and compass solves the general quintic

2•jjgreen•16m ago•0 comments

PDF Forgeries Are Surprisingly Rare (2022)

https://gwern.net/blog/2022/pdf-forgery
2•1317•16m ago•0 comments

Hyperbolic Navigation

https://en.wikipedia.org/wiki/Hyperbolic_navigation
1•Eridanus2•20m ago•0 comments

Away Goals Rule

https://en.wikipedia.org/wiki/Away_goals_rule
1•chistev•21m ago•0 comments

Enterprise Cyber Risk Management

https://andersenlab.com/services/cybersecurity-risk-management
1•andersen_lab•27m ago•0 comments

Be Careful with Your Select * Queries

https://notesonsystems.com/articles/why-im-done-with-select-star
1•theanonymousone•32m ago•1 comments

TeaonherChecker

https://teaonher.org
1•thefirstname322•32m ago•0 comments

Leaping Sun Dogs (2016) [video]

https://www.youtube.com/watch?v=KPPaGmtuHCY
1•joebig•35m ago•0 comments

Jev is the fastest-adopted model in AI Gateway history

https://vercel.com/blog/ai-gateway-jev-model-launch
1•flashbrew•35m ago•1 comments

A font that reads what you wrote

https://rohanadwankar.github.io/posts/semfont.html
2•RohanAdwankar•36m ago•1 comments

A deep dive into Jev, TypeSafe's System One model

https://flaviocopes.com/jev/
1•sts153•36m ago•0 comments

CoyoPedal – Full-Size Neural Amp Modeler Captures on an ESP32-S3

https://github.com/dashersw/coyopedal
1•arbayi•36m ago•0 comments

I'm so bad at billiards that I ended up in the hyperbolic plane [video]

https://www.youtube.com/watch?v=kL9BTbIGxLg
1•vismit2000•36m ago•0 comments

MIT Just Proved LLMs Will Stop Getting Smarter, and Money Won't Fix It [video]

https://www.youtube.com/watch?v=6xQ8LQfkBg4
1•bArray•40m ago•0 comments

Show HN: Delightful Cells – reliable AI batch processing for spreadsheets

https://delightfulcells.com
1•sumtsui•42m ago•1 comments

Clawptcha: Reverse Captcha

https://clawptcha.com/
1•Kotlopou•47m ago•0 comments

Neutron Radiation, Emission and Scattering (Neutron Chemistry)

https://www.ossila.com/pages/neutron-radiation
1•peter_d_sherman•48m ago•0 comments

Drop-in Django app to serve a decent LLM-ready documentation site

https://mdjango.chesselink.com/
3•fluxmatix•55m ago•1 comments

I built an extension that hides your personal information from AI

https://github.com/arikchakma/opencloak
2•arikchakma•59m ago•0 comments

Show HN: I-server: Hide server using ICMP reflection/Destination Unreachable

https://github.com/hajoon22/i-server
4•hajoon22•1h ago•0 comments

Benchmarking Wild vs. Mold

https://davidlattimore.github.io/posts/2026/09/18/benchmarking-wild-vs-mold.html
6•birdculture•1h ago•0 comments

Microsoft agentically ports Copilot runtime to Rust for $120K

https://www.theregister.com/devops/2026/09/18/microsoft-agentically-ports-copilot-runtime-to-rust...
6•pjmlp•1h ago•0 comments

Why China is pushing back on US warnings over rapid AI development

https://www.theguardian.com/world/2026/sep/20/why-china-is-pushing-back-on-us-warnings-over-rapid...
5•chrisjj•1h ago•1 comments

Boston to Calcutta Ice Trade Began with One Shipment

https://curiowire.com/article/556
3•thunderbong•1h ago•0 comments

Show HN: Book recommendations with live library availability

https://leafle.nanosheep.net
3•kidnoodle•1h ago•4 comments

Show HN: I built Hacker News alternative and scale to 11,000 users

https://founderstoday.org/
2•dreylord•1h ago•1 comments
Open in hackernews

Top Tips for Writing Code with AI

https://brettdidonato.substack.com/p/top-5-tips-for-writing-code-with
2•bsdpython•1y ago

Comments

uberman•1y ago
Solid, particularly the advice about context. I find with AI, less is better. Once you have "enough" context, adding more increases the risk of problems. The one I take exception with is the last. "You don't need to understand what the AI wrote". I feel you absolutely do need to understand what the AI wrote and if you don't you should not commit it.
bsdpython•1y ago
Thanks. I know the last one is controversial, but the way I am starting to think about it is that we are just moving to a new layer of abstraction. I no longer understand very well how hardware works, nor do I know in detail how a browser renders a page, nor the full fine details of how many of the libraries I use work. My own AI generated code, in pockets, is starting to work in the same way. And I'm starting to become OK with that risk.
sherdil2022•1y ago
The implementations for those abstractions are well tested (hopefully). Committing code that we don’t thoroughly test or have an understanding about is going to bite us sooner than later. They are landmines. Not abstractions.
bsdpython•1y ago
Is it possible we hit a wikipedia moment (it being more accurate than Encyclopedias) where the quality of typical ai generated code is better than popular open source libraries?