// bookshelf

What I'm reading

Format & topics

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.

AI engineering Foundation models LLM applications Evaluation
book
2025

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Chip Huyen

An end-to-end guide to designing production-ready machine-learning systems, covering data, training, deployment, monitoring, and iteration.

Machine learning MLOps Production systems Data engineering
Up next book
2022

Out of the Tar Pit

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.

Software design Complexity Architecture
paper
2006

Designing Data-Intensive Applications (2nd edition)

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.

Distributed systems Data engineering Architecture
book
2026