The Real Economic Threat Isn't AI — It's Automation at Scale
The existential threat to labor isn't large language models. It's physical-world automation — and it has very little to do with chatbots.
The existential threat to labor isn't large language models. It's physical-world automation — and it has very little to do with chatbots.
The dominant narrative says AI is a bubble. I think it's something different: big tech finally deploying tens of billions in capital that's been sitting idle for years.
The honest tradeoffs between retrieval-augmented generation, classical NLP, and just prompting GPT. When each approach makes sense, how to blend them together, and why startups should probably start with prompts.
Deep dive into the architecture of a multi-service deployment orchestrator: recipe validation, command registries, and parallel execution with step barriers.
The math on when you actually need to scale, why managed containers often beat serverless for APIs, and how to avoid architecture astronaut syndrome.
What I learned about monorepos from Meta's massive codebase, AWS's polyrepo architecture, and migrating SID from 15 repositories to one.