SPIN Unprocessed October 22, 2026 ai_technology technology
Presentation: Actors for Agents: Patterns for Production AI
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Manju Rajashekhar explains how the actor model solves the complex runtime challenges of production AI agents. By treating agents as distributed systems, he discusses state ownership, message passing, write-through state, and supervision boundaries to manage failures, continuations, and mutable execution graphs, moving agentic workflows beyond fragile demos to resilient architecture. By Manju Rajashekhar
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