Why Floating Point Is Dangerous: The Case for Deterministic AI in C
When 'mostly reproducible' isn't good enough for systems that matter
Debugging Model Behavior in Production
When the model works in staging but fails in prod, here's how to find out why
11 min read →When You Don't Need a Feature Store
Most teams solve a problem they don't have yet
10 min read →Model Serving Architecture Patterns
Understanding latency, throughput, and the trade-offs between them
12 min read →Production AI Systems: What 30 Years of UNIX Taught Me
The infrastructure principles that kept systems running still apply to ML
10 min read →The Observability Gap in ML Systems
Why your model serving cluster fails at 3AM and you can't figure out why
8 min read →6 of 6 articles