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Building a Health Data Pipeline with Google Health API, Swamp, and Claude

Disclaimer: The following text is an AI-generated summary of the design decisions and evolution of the Google Health data pipeline built with Swamp and Claude.

Building a Health Data Pipeline with Google Health API, Swamp, and Claude

Disclaimer: The following text is an AI-generated summary of the design decisions and evolution of the Google Health data pipeline built with Swamp and Claude.

Thumbnail for Reading the board from the stands

Reading the board from the stands

Here are three compute strategies, and the thing I actually felt watching them. For the whole LLM circus I did not pay much attention to Nvidia.

Thumbnail for Nvidia, Oxide, and tinygrad through a Wardley lens — the long version

Nvidia, Oxide, and tinygrad through a Wardley lens — the long version

Companion to “Reading the board from the stands”. The short essay is about what it did to me. This is the working-out: three value chains at three altitudes — the maps and my thoughts.

swamp-go-brr, the brain

Last post I built a cage — a Firecracker microVM to hold an agent I had let off the leash. This post is about what I put in it, and why the thing I put in it is a state machine and not a swarm.

Build the cage first

Two of Simon Wardley’s predictions have sat on my map for years: that serverless was the next evolution of devops, and that conversational programming was the one after it.

The shape of the decision

I meant to buy a flat in my second year here. Then life had other plans. After a hard stretch I will not lay out in full — climbing out of something, mostly — came a year of just making things stable again, and then a year given over to the language.

A feed to think with

The first night I got access to move.nl I spent four hours reading apartment listings and went to bed at one in the morning. I built a tool to watch the market so I do not have to.