Practical AI · Thursday, July 9, 2026
Hamza Tahir, co-founder of ZenML, discusses how core MLOps principles are being rediscovered and adapted for the emerging field of AI agents. He highlights that the fundamental concepts of writing reliable, safe, and retryable code are just as relevant for agents as they were for traditional machine learning pipelines.
“And at the end of the day, it comes down to these very basic principles of how to write good software engineering code that runs non-deterministic code in a way that's safe and reliable and retryable.”
“So, I think if anything, even if you throw away every other tool that we ever used in MLOps, the principles and the learnings that we took from productionizing these applications at scale, still translate and are being rediscovered even at the AI Winters conferences.”