2026 Reading List

Read

1. Never Split the Difference - Chris Voss
2. AI Engineering - Chip Huyen
3. Kettlebell: Simple and Sinister - Pavel Tsatsouline

Currently Reading

2. Refactoring - Martin Fowler
3. The No Asshole Rule - Robert Sutton
4. Cloud Strategy - Gregor Hohpe
5. Platform Strategy - Gregor Hohpe
6. Fundamentals of Data Engineering - Joe Reis & Matt Housley
7. Designing Machine Learning Systems - Chip Huyen
8. Exploring Gospel of John - John Phillips
9. Hero of Ages - Brandon Sanderson
10. Building an LLM from Scratch - Sebastian Raschka
11. The Intentional Father - Jon Tyson
12. Dispensational Truth - Clarence Larkin
13. Why Machines Learn - Anil Anantaswamy

Planned

1. Robert Nystrom - Crafting Intepreters
2. Tom Stuart - Understanding Computation
3. Gerald Weinberg - Quality Software Management, Vol 1: Systems Thinking
4. Donella Meadows - Thinking in Systems
5. Brendan Burns - Designing Distributed Systems
6. Clarence Larking - Dispensational Truth
7. Betsy Beyer - Site Reliability Engineering
8. Steven Pinker - Rationality: What It Is, Why It Seems Scarce, Why It Matter
9. Lies My Gov't Told Me: And the Better Future Coming
10. Traced: Human DNA's Big Surprise
11. Jez-Humble, Gene Kim - Accelerate: The Science of Lean Software and DevOps: Building and Scaling High Performing Technology Organizations
12. Brendan Gregg - Systems Performance
13. Site Reliability Engineering
14. Building secure & reliable systems
15. Neal Ford, Rebecca Parsons - Building Evolutionary Architectures
16. The Hard Thing About Hard Things - Ben Horowitz
17. Introduction to General Systems Thinking - Gerald Weinberg
18. Return of the God Hypothesis - Dr. Stephen Meyer
19. Building LLMS from scratch