Език: Български
There is a cool programming paradigm underlying a lot of the modern AI services that has remained relatively unknown - durable execution.
Durable execution is a mechanism to incrementally checkpoint the state of a function as it makes progress, so that in the case of unexpected failure, the function can recover from where it left off. It's particularly relevant in newer stacks and projects implementing AI agents, which are long-running and stateful. A system which implements durable execution is often called a "workflow engine."
This talk deep-dives into the how durable execution works, how to implement it using a variety of open source tools and why you should care.