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Title of Rethink Your Understanding: "Rethink Your Understanding"
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AI can write code, but it cannot sign an IP agreement.
In this episode, the AI hosts explore my article on how AI-generated software introduces new ownership, copyright, and governance risks, and what engineering leaders must do to maintain accountability and protect their organization’s intellectual property.
In this episode, the AI hosts explore why token spend is becoming part of product economics, engineering capacity, and operational performance.
The discussion covers connecting AI costs to business value, managing agentic workflows and comprehension debt, and preserving human accountability as AI accelerates software delivery.
In this episode, the AI hosts explore my article, which argues that a flat organization is not defined by fewer managers, but by where authority and decision-making reside. The conversation examines a model where self-managed teams own delivery while managers focus on coaching, development, and creating the conditions for autonomy to work.
AI can make teams faster, leaner, and more capable, but it does not make judgment, ownership, and accountability disappear.
In this episode, the AI host explores my recent article on the leadership risk of mistaking reduced task effort for reduced responsibility. As teams become more AI-enabled, leaders must think carefully about technical depth, feedba...
In this episode, the AI hosts discuss my post on how AI is becoming an operating model test for modern organizations.
AI is producing more code, more activity, and more visible output, but that does not automatically mean more business value.
Drawing from recent IBM, CircleCI, and DORA insights, I explain how AI can expose weak systems, increase p...