Notes from two decades of building systems. What worked. What did not. What I am still figuring out.
How AI actually works in production, beyond the demos
System designs that I have built and learned from
Things that broke, why they broke, and what I learned
The reasoning behind technical choices and trade-offs
How I think about solving problems and shipping code
I write about the decisions that keep me up at night. The architecture choices that seemed right at the time. The failures that taught me more than any success. The patterns I have seen work across different projects and teams.
This is not a place for step-by-step tutorials. There are plenty of those already. I am not chasing the latest trends or trying to sell you anything. I am simply writing down what I have learned, in case it helps someone else who is wrestling with similar problems.
If something resonates, that is great. If you disagree, I would love to hear why. That is how we all get better.