AI Engineering: Building Applications with Foundation Models
Chip Huyen
A practical guide to building applications with foundation models, from model selection and evaluation to deployment and production tradeoffs. I’m actively reading it now.
// bookshelf
Chip Huyen
A practical guide to building applications with foundation models, from model selection and evaluation to deployment and production tradeoffs. I’m actively reading it now.
Chip Huyen
An end-to-end guide to designing production-ready machine-learning systems, covering data, training, deployment, monitoring, and iteration.
Ben Moseley, Peter Marks
A classic argument for attacking complexity directly — separating essential state from accidental complexity — with implications for how we structure large applications.
Martin Kleppmann, Chris Riccomini
The clearest tour of the ideas behind modern data systems — storage, replication, partitioning, stream processing, and the tradeoffs that actually matter in production. I'm actively reading the second edition now.
Larry McMurtry
A cattle drive from Texas to Montana — sprawling, humane, and unsparing.
Pierce Brown
Martian underclass infiltrates the ruling order — brutal, propulsive space opera.
Matt Dinniman
A snarky Earthling drops into a brutal dungeon apocalypse reality show—equal parts comedy, cosmic horror, and escalating power fantasy.
Annie Jacobsen
Minute-by-minute investigative nonfiction about how a full exchange could unfold—reads like a thriller, sourced like a briefing book. I’m on audio.
Andy Weir
A lone astronaut wakes with no memory and a mission to save Earth — hard-SF problem solving with heart.