https://www.infoq.com InfoQ Fault Tolerance Presentations feed https://www.infoq.com/presentations/actors-for-production-ai-agents/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Fault+Tolerance-presentations <img src="https://res.infoq.com/presentations/actors-for-production-ai-agents/en/mediumimage/medium-1792065780503.jpeg"/><p>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.</p> <i>By Manju Rajashekhar</i> Agents Fault Tolerance Transcripts Architecture Distributed Systems Actor Model QCon AI Boston 2026 AI, ML & Data Engineering Architecture & Design Development presentation Thu, 22 Oct 2026 11:00:00 GMT https://www.infoq.com/presentations/actors-for-production-ai-agents/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Fault+Tolerance-presentations Manju Rajashekhar 2026-10-22T11:00:00Z /presentations/actors-for-production-ai-agents/en