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The Prime Video microservices to monolith story(adrianco.medium.com)
456 points by mparnisari | 357 comments
Adrian Cockcroft's Medium post responding to takes on Amazon Prime Video's move from microservices to a monolith, discussing lessons learned.
Piranesi's Perspective Trick (2019)(medium.com)
321 points by amatheus | 72 comments
A 2019 Medium post by Bruno Postle about the perspective technique used in Giovanni Battista Piranesi's architectural etchings; the page had not loaded.
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LLMs use a surprisingly simple mechanism to retrieve some stored knowledge(news.mit.edu)
336 points by CharlesW | 121 comments
MIT News article on research showing LLMs often retrieve stored facts via simple linear functions, and a technique to probe what a model knows about subjects.
How I write software with LLMs(stavros.io)
440 points by indigodaddy | 423 comments
A personal blog post by Stavros describing how he uses LLMs to write software and why he values making things over programming itself.
Training LLMs from ground zero as a startup(yitay.net)
360 points by swyx | 92 comments
Yi Tay's blog post on the experience of training large language models from scratch at a startup (Reka), covering compute, infrastructure, and lessons learned.
What AI-Native Looks Like(fagnerbrack.com)
14 points by fagnerbrack | 7 comments
A blog post by Fagner Brack on Medium describing what an AI-native approach to software development with stable infrastructure looks like.
Experimenting with Local LLMs on macOS(blog.6nok.org)
367 points by frontsideair | 241 comments
A personal blog post by a self-described LLM skeptic explaining how to download and run large language models locally on a Mac.
AI coding has made CI a bottleneck, so we reworked ours to keep up(linear.app)
300 points by julian_digital | 367 comments
A Linear engineering blog post explaining how AI-assisted coding increased CI load and how the team reworked its CI pipeline to keep up.