Now reading
Designing Data-Intensive Applications
Martin Kleppmann
- Non-fiction
- Software engineering
- Distributed systems
Bookshelf
What I'm reading, what stuck, and what's next.
Engineering and leadership books, and a few with nothing to do with either. Finished books get short notes on the ideas I kept.
- Books finished
- 6
- Pages read
- 1,596
- Non-fiction · fiction
- 5 · 1
- Up next
- 4
01Read
Finished, with notes
Most recent first. Open a book for what I took from it.
Generative AI on Kubernetes
Roland Huß & Daniele Zonca
- Non-fiction
- AI engineering
An LLM is just another workload until you count the GPUs. Then scheduling, metrics, and identity all have to change.
Thinking in Systems
Donella Meadows
- Non-fiction
- Systems thinking
Behaviour comes from structure: fix the feedback loop, not the symptom.
Project Hail Mary
Andy Weir
- Fiction
- Science fiction
Debugging, but the system is a star and the stakes are everyone.
The Staff Engineer's Path
Tanya Reilly
- Non-fiction
- Leadership
Staff work is mostly choosing which problems deserve a team.
Homo Deus
Yuval Noah Harari
- Non-fiction
- Futurism
Once algorithms decide better than feelings, the real question is who designs the data flow.
Sapiens
Yuval Noah Harari
- Non-fiction
- History
Our superpower is believing the same stories. Money, nations, and companies exist because we agree they do.
02Up next
On the nightstand
AI Engineering
Chip Huyen
- Non-fiction
- AI engineering
- LLMs
Building products on foundation models: evaluation, RAG, agents, and finetuning. The application-side companion to running them on Kubernetes.
Nexus
Yuval Noah Harari
- Non-fiction
- History
- AI and society
Information networks from the Stone Age to AI. The natural third act after Sapiens and Homo Deus.
A Philosophy of Software Design
John Ousterhout
- Non-fiction
- Software design
Deep modules versus shallow ones, the argument I keep having in design reviews.
Dune
Frank Herbert
- Fiction
- Science fiction
- Classic
Long overdue.