ArchitectureArchitecture
Byte Size15min
INTERMEDIATE

The Tiniest Durable Agent

AI agents are easy to demo and still hard to operate in production. You can build a working agent in a few lines of code, but the moment you care about crashes, retries, state, identity, or observability, things get complicated fast.

This talk shows how to build the tiniest durable agent in 10 lines of code, an agent that can fail, restart, and resume without losing its mind. We’ll look at what actually makes an agent production-ready, why most agent frameworks fall apart under real-world conditions, and how durability changes the way agents should be designed.

In 15 minutes, you’ll see how a small amount of agent code, combined with durable execution and externalized infrastructure concerns, turns a fragile demo into something you can actually run in prod. All done with Dapr.

Bilgin Ibryam
Bilgin IbryamDiagrid

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Wednesday, May 6, 14:15-14:30
Room A
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talks.description
AI agents are easy to demo and still hard to operate in production. You can build a working agent in a few lines of code, but the moment you care about crashes, retries, state, identity, or observability, things get complicated fast.

This talk shows how to build the tiniest durable agent in 10 lines of code, an agent that can fail, restart, and resume without losing its mind. We’ll look at what actually makes an agent production-ready, why most agent frameworks fall apart under real-world conditions, and how durability changes the way agents should be designed.

In 15 minutes, you’ll see how a small amount of agent code, combined with durable execution and externalized infrastructure concerns, turns a fragile demo into something you can actually run in prod. All done with Dapr.
observability
agents
durability
production
talks.speakers
Bilgin Ibryam

Bilgin Ibryam

Diagrid

UK

Bilgin is driven by a long-standing passion for writing, and sharing his experience in building and operating enterprise software in the real world. Throughout his career, he has focused on observing recurring problems, synthesising best practices, and turning hard-earned lessons into reusable patterns that help engineers think, communicate, and build better systems. This mindset is reflected in his work as the author of Camel Design Patterns and co-author of Kubernetes Patterns.

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