Every article here comes out of a system running in production: the decision that was hard, the assumption that turned out to be wrong, and what we do differently now.
Short, specific pieces on engineering decisions, AI guardrails, and the gap between a passing test suite and a happy user. Newest first.
These are not think pieces. Each one traces back to a platform we designed, built, and still maintain, and the case studies cover the same ground with the architecture attached.
If any of this sounds like the problem in front of you, tell us where you are and where you'd like to be. We'll come back with a plan within two business days.
