"We are going to chat about architecting systems with agentic AI. What's today's topic? Today's topic is agentic AI that many consider even a buzzword in software architecture. What does it really mean for senior practitioners that have to build today's production system? Panelists will discuss what makes AI agentic and how it differs from traditional AI implementation. My name is Renato Losio."
"At Masaic, we are building large-scale decisioning systems with the power of agentic AI. At the core of our agentic AI journey, we believe that agentic AI is all about autonomous loops. We need a new computing paradigm for it, we call it the agentic loop. We are building an open-source component called AGC, it's called agentic compute, which we believe should be something like the containers for cloud."
Agentic AI comprises systems that execute autonomous decision-making loops and coordinate multiple model-driven agents. Production deployments require a shift from single-model prompts to continuous sensing, planning, action, and feedback orchestration. New infrastructure components such as agent runtimes, orchestration, and agentic compute (AGC) are needed to manage lifecycle, scalability, and observability, analogous to containers for cloud. Real-world examples include large-scale agentic PaaS deployments and enterprise integrations of foundational models into analytics platforms. Adoption requires evaluating complexity versus benefit and addressing safety, governance, reliability, and operational patterns before justifying agentic architectures in production.
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