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The article explores how Team Topologies can organize teams to manage the cognitive load created by agentic AI systems, which compress traditional sequential design-test-deploy workflows into rapid, parallel decision-making. Unlike traditional software development where complexity is distributed across roles and time, agents produce answers immediately and continuously, requiring humans to anticipate all questions upfront—a burden the agentic platform helps absorb by handling routine decisions and letting humans focus on critical structural choices. The author argues that managing agentic production at scale requires regulating cognitive throughput over time, not just distributing it across teams.
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