Flow Theory & AI Architecture

I.flow() AI is an emotional intelligence AI that learns to respond in real-time to the pain of humans, for example, developers that are having a hard time. The I.flow() AI Platform is still in the early stages of mapping theory to concrete implementation, so in this talk we'll breakdown architecture strategy, pain metrics, pair programming buddy, supply chain flows, and the underpinning of Flow theory.

Flow is an old concept, adopted into the software world by mapping Flow from Lean manufacturing. When we map a metaphor between two different domains, our brain locks onto the isomorphisms between contexts, and “Flow” becomes stickies flowing on a whiteboard, or features flowing out to customers. It becomes difficult to see Flow any other way.

What if our object-oriented blinders led to an object-oriented notion of Flow, and there's a totally different way to look at the system? Flow, at it's core, is a paradigm shift, a metaphorical lens, that helps us see, understand, and predict the behavior of any Flow System. Better predictive models, enables AI automation like we've never had before. It's about time we started applying AI to our own problems.

About Arty Starr

Arty Starr is a recognized Flow Experience expert, researcher, speaker and thought leader, and author of Idea Flow, how to measure the friction in software development. Arty's PhD research is developing a theory of momentum in software development, and she is creator of the FLOWS platform designed to help developers thrive and find joy through more time in the flow state. The company she founded, FlowInsight, is on a mission to bring back joy to our everyday work.

Arty is also a 2D/3D animator and artist, and has spent the last couple years building 3D apps in AR. She loves to share about her experiences with these technologies.

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