Engineering Highly Reliable AI Agents
Practical AI · rss · 2026-07-09
The **Practical AI** podcast invited Hamza Tahir to discuss moving AI agents from simple demos to reliable production systems. Key takeaways include: - Exploring how MLOps principles shape the future of generative AI, covering workflows, agent frameworks, and the infrastructure needed to build scalable systems. - An in-depth look at open-source tools and production-level challenges. - An introduction to ZenML's new project, **Kitaru**, designed to help developers build resilient, reproducible, and observable agent systems.
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