Join Bruno Capuano and Konstantin Semenenko for a deep dive into building AI agents with .NET and Orleans.

As AI applications evolve from simple prompts to complex, stateful systems, developers need architectures that can manage long-running conversations, coordinate distributed workloads, and operate reliably at scale. Orleans provides a powerful virtual actor model that naturally maps to the way modern AI agents think, act, and collaborate.
In this session, Bruno and Konstantin will explore how Orleans enables scalable agent-based systems, simplifies state management, and provides a production-ready foundation for orchestrating distributed AI workloads. Through practical examples and real-world experiences, they'll discuss common architectural patterns, design decisions, and operational considerations for building reliable AI-driven applications.

Whether you're experimenting with agent frameworks or designing enterprise-scale AI solutions, you'll learn why Orleans is becoming an important technology for developers building the next generation of intelligent systems.

🔗 Links: https://learn.microsoft.com/en-us/collections/m2dqt7t0xz0yww?source=docs

🎙️ Featuring: Bruno Capuano (https://www.linkedin.com/in/elbruno), Konstantin Semenenko (https://www.linkedin.com/in/ksemenenk0/)

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.NET AI Community Standup: Why Orleans for AI Agents