•1 min read•from InfoQ
Presentation: Agents, Architecture, & Amnesia: Becoming AI-Native Without Losing Our Minds
Our take
In her presentation, "Agents, Architecture, & Amnesia: Becoming AI-Native Without Losing Our Minds," Tracy Bannon offers a compelling analysis of the risks associated with unchecked AI autonomy, drawing parallels to "The Sorcerer’s Apprentice." She highlights the evolution from bots to autonomous agents and warns that accelerating without governance can lead to "Architectural Amnesia." Bannon introduces a framework for "Minimum Viable Governance," focusing on key elements such as identity, delegation, and ADRs to effectively manage technological debt at machine speed throughout the software development lifecycle.
Tracy Bannon shares a cautionary tale of "The Sorcerer’s Apprentice" to illustrate the risks of unbridled AI autonomy. She discusses the shift from bots to autonomous agents, explaining how reckless speed leads to "Architectural Amnesia." She provides a concrete framework for "Minimum Viable Governance," focusing on identity, delegation, and ADRs to manage debt at machine speed across the SDLC.
By Tracy BannonRead on the original site
Open the publisher's page for the full experience
Tagged with
#natural language processing for spreadsheets#machine learning in spreadsheet applications#generative AI for data analysis#Excel alternatives for data analysis#AI-native spreadsheets#rows.com#cloud-native spreadsheets#AI autonomy#agents#Minimum Viable Governance#autonomous agents#Architectural Amnesia#identity#delegation#machine speed#ADRs#SDLC#debt management#reckless speed#framework