Presentation: From Hype to Strong Foundations: What the Rise, Fall and Resurgence of Agents Can Teach Us About Outlasting the Cycle
Quick Answer
Aditya Kumarakrishnan outlines a strategy for engineering leaders to overcome AI's 'amnesia phase' by utilizing CoALA for modular agent frameworks, transforming legacy systems into event-sourced artifacts, and applying process science for scalable workflows.
Quick Take
Aditya Kumarakrishnan outlines a strategy for engineering leaders to overcome AI's 'amnesia phase' by utilizing CoALA for modular agent frameworks, transforming legacy systems into event-sourced artifacts, and applying process science for scalable workflows.
Key Points
- CoALA enables the creation of modular agent frameworks for better scalability.
- Legacy environments can be transformed into robust, event-sourced artifacts.
- Process science principles help streamline workflows in AI applications.
- The approach addresses unpredictable, cross-functional demands in AI systems.
- Engineering leaders are encouraged to adopt these strategies for long-term success.
Article Excerpt
From source RSS / original summaryAditya Kumarakrishnan explains how to move past the "amnesia phase" of AI. He shares a blueprint for engineering leaders to build modular agent frameworks using CoALA, leverage decades of process science for scalable workflows, and "terraform" legacy environments into robust, event-sourced artifacts capable of handling unpredictable, cross-functional agent demands. By Aditya Kumarakrishnan
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