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This presentation outlines a critical architectural shift from stateless prompting to state-aware AI agents by leveraging distributed systems principles like Apache Kafka, Flink, and dynamic memory tiering. These engineering strategies directly address practical bottlenecks including token limits, cost inefficiencies, and latency issues inherent in scaling complex AI systems. The core value lies in applying rigorous context engineering and tool orchestration via MCP to build robust, production-ready AI infrastructure.
Presentation: Beyond Prompting: Context Engineering and Memory Management for AI Systems at Scale

Adi Polak discusses the architecture required to transition from stateless prompts to state-aware, context-rich AI agents. Drawing on 15 years in distributed systems, she shares how engineering leaders can leverage Apache Kafka and Flink for real-time stream processing, dynamic memory tiering, and tool orchestration via MCP to solve token limits, cost spikes, and latency bottlenecks. By Adi Polak
Adi Polak: Today we're going to talk about beyond prompting. We're going to break some distributed systems down into parts and see how we can leverage that for memory management, for distributed AI systems that we're building. First of all, we want to start with something that is a little bit out of the ordinary. Has anyone here watched the movie, "Men in Black?" Do you remember the interview scene when Agent J, aka Will Smith, is interviewing for the job? Let's watch it. Zed: Edwards, what the hell happened? Edwards: Hesitated. Zed: May I ask why you felt little Tiffany deserved to die? Edwards: She was the only one that actually seemed dangerous at the time, sir. Zed: How'd you come to that conclusion? Edwards: First, I was going to pop this guy hanging from the street light. Then I realized he's just working out. How would I feel if somebody come running in the gym, bust me in my ass while I'm on a treadmill? Then I saw this snarling beast guy and I noticed he had a tissue in his hand. I realized he's not snarling, he's sneezing. There is no real threat there. Then I saw…
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