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.
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.
Source Excerpt
Aditya Kumarakrishnan discusses "Agents: The Missing Manual," sharing four historically grounded ideas to build modular, durable, and hyper-tenant AI agent architectures.
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