DevConf.US 2025

Building Reliable AI Agents with BeeAI
2025-09-19 , 107 (Capacity 20)

Join this hands-on workshop designed for developers interested in building reliable AI agents. You'll walk away with a tangible example you can adapt for your own production AI Agent use cases.

Learn to implement the components that make BeeAI's agents production-ready: control over agent behavior, built-in caching, memory optimization, resource management, and real-time monitoring with OpenTelemetry.


What level of experience should the audience have to best understand your session?

Intermediate - attendees should be familiar with the subject

See also: Matrix Chat

Sandi Besen is an AI Research Engineer and Ecosystem Lead at IBM Research, where she drives initiatives in research-to-product translation and ecosystem development. Her work focuses on turning cutting-edge research into scalable solutions, often in collaboration with the open-source community to accelerate innovation. Previously, as an Applied AI Researcher at Neudesic, she designed multi-agent AI systems and authored widely cited research papers and meta-analyses. She is also an active AI advisor to startups, guiding them from concept to deployment and aligning technical capabilities with strategic goals.