Presentation: From Hype to Strong Foundations: What the Rise, Fall and Resurgence of Agents Can Teach Us About Outlasting the Cycle
Engineering leaders are moving past agent hype. Here's the blueprint for building frameworks that actually last.
Why it matters
As agent enthusiasm cycles through boom-bust patterns, this presentation offers practical architectural guidance for engineering teams to build modular, scalable agent systems grounded in process science rather than pure experimentation—helping leaders avoid repeating the same mistakes across AI adoption waves.
The key facts
13 to knowFocus on CoALA framework for modular agent architecture
Applies decades of process science to AI workflows
Event-sourced design for legacy system integration
Addresses 'amnesia phase' of AI adoption cycles
Targets cross-functional, unpredictable agent demands
Emphasis on engineering foundations over hype
Focus on 'amnesia phase' of AI cycles—moving past hype to sustainable foundations
CoALA framework mentioned for modular agent architecture
Integration of decades of process science for workflow scalability
Event-sourced architecture for legacy system modernization
Cross-functional agent orchestration pattern
Presenter: Aditya Kumarakrishnan
Published on InfoQ (technical audience, credible source)
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Publisher excerpt: Aditya 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…
