How SRE Teams Define “Acceptable Failure” to Improve Reliability
Why determinism matters and how reproducible builds reduce security risks
Principles for Giving High-Leverage Feedback and Elevating Code Quality
How to Quantify, Predict, and Minimize the “Interest” Your Codebase Pays Over Time
Why the way your data sits in memory is as important as the algorithms that operate on it
Why FP Ideas Aren’t a Trend—They’re Inevitable
Developing the Ability to “Predict the Bug” Without Debugging
Understanding 2PC, Sagas, Idempotency, and the Consistency Challenges of Microservices
A pragmatic deep dive into JITs, AOT, type specialization, memory layout, and CPU cache mechanics
Because tools don’t build software — people do.
A structured breakdown of the mechanisms, tradeoffs, and design lessons behind decades of evolving error-handling strategies.
Why Naming Is Harder Than It Looks — and How It Shapes Maintainability
