Article URL: https://www.nytimes.com/2025/04/17/technology/google-ad-tech-antitrust-ruling.html

Comments URL: https://news.ycombinator.com/item?id=43717705

Points: 527

# Comments: 274

Article URL: https://www.afterbabel.com/p/industrial-scale-harm-tiktok

Comments URL: https://news.ycombinator.com/item?id=43716665

Points: 544

# Comments: 616

Article URL: https://maknee.github.io/blog/2025/3FS-Performance-Journal-1/

Comments URL: https://news.ycombinator.com/item?id=43716058

Points: 389

# Comments: 65

Article URL: https://www.skyatnightmagazine.com/news/k2-18b-dimethyl-sulfide

Comments URL: https://news.ycombinator.com/item?id=43714203

Points: 382

# Comments: 314

Article URL: https://status.zoom.us/incidents/pw9r9vnq5rvk

Comments URL: https://news.ycombinator.com/item?id=43711957

Points: 586

# Comments: 279

Article URL: https://coppolaemilio.com/entries/i-left-spotify-what-happened-next/

Comments URL: https://news.ycombinator.com/item?id=43711706

Points: 378

# Comments: 405

Article URL: https://arstechnica.com/tech-policy/2022/08/man-who-built-isp-instead-of-paying-comcast-50k-expands-to-hundreds-of-homes/

Comments URL: https://news.ycombinator.com/item?id=43709770

Points: 530

# Comments: 208

Article URL: https://github.com/openai/codex

Comments URL: https://news.ycombinator.com/item?id=43708025

Points: 501

# Comments: 269

Article URL: https://openai.com/index/introducing-o3-and-o4-mini/

Comments URL: https://news.ycombinator.com/item?id=43707719

Points: 529

# Comments: 490

Article URL: https://archive.org/details/attentionkmartshoppers

Comments URL: https://news.ycombinator.com/item?id=43706706

Points: 326

# Comments: 111

Article URL: https://theappendix.net/posts/2014/02/darwins-children-drew-vegetable-battles-on-the-origin-of-species

Comments URL: https://news.ycombinator.com/item?id=43706037

Points: 474

# Comments: 130

Article URL: https://antirez.com/news/150

Comments URL: https://news.ycombinator.com/item?id=43705632

Points: 318

# Comments: 152

Article URL: https://microsoft.design/articles/introducing-kermit-a-typeface-for-kids/

Comments URL: https://news.ycombinator.com/item?id=43704904

Points: 347

# Comments: 164

Article URL: https://www.thecvefoundation.org/home

Comments URL: https://news.ycombinator.com/item?id=43704430

Points: 435

# Comments: 72

Article URL: https://www.csoonline.com/article/3963190/cve-program-faces-swift-end-after-dhs-fails-to-renew-contract-leaving-security-flaw-tracking-in-limbo.html

Comments URL: https://news.ycombinator.com/item?id=43700607

Points: 1894

# Comments: 1081

I've been building AI agents for a while. After trying every framework out there and talking to many founders building with AI, I've noticed something interesting: most "AI Agents" that make it to production aren't actually that agentic. The best ones are mostly just well-engineered software with LLMs sprinkled in at key points.

So I set out to document what I've learned about building production-grade AI systems: https://github.com/humanlayer/12-factor-agents. It's a set of principles for building LLM-powered software that's reliable enough to put in the hands of production customers.

In the spirit of Heroku's 12 Factor Apps (https://12factor.net/), these principles focus on the engineering practices that make LLM applications more reliable, scalable, and maintainable. Even as models get exponentially more powerful, these core techniques will remain valuable.

I've seen many SaaS builders try to pivot towards AI by building greenfield new projects on agent frameworks, only to find that they couldn't get things past the 70-80% reliability bar with out-of-the-box tools. The ones that did succeed tended to take small, modular concepts from agent building, and incorporate them into their existing product, rather than starting from scratch.

The full guide goes into detail on each principle with examples and patterns to follow. I've seen these practices work well in production systems handling real user traffic.

I'm sharing this as a starting point—the field is moving quickly so these principles will evolve. I welcome your feedback and contributions to help figure out what "production grade" means for AI systems!

Comments URL: https://news.ycombinator.com/item?id=43699271

Points: 414

# Comments: 71

Article URL: https://www.jeffgeerling.com/blog/2025/its-easier-ever-de-censor-videos

Comments URL: https://news.ycombinator.com/item?id=43695701

Points: 381

# Comments: 157

Article URL: https://blog.google/products/gemini/video-generation/

Comments URL: https://news.ycombinator.com/item?id=43695592

Points: 346

# Comments: 132

Article URL: https://www.theverge.com/openai/648130/openai-social-network-x-competitor

Comments URL: https://news.ycombinator.com/item?id=43694877

Points: 313

# Comments: 423

Article URL: https://www.digicert.com/blog/tls-certificate-lifetimes-will-officially-reduce-to-47-days

Comments URL: https://news.ycombinator.com/item?id=43693900

Points: 499

# Comments: 636