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An essay about agentic engineering at AI notetaker company Granola describes a practical division of labour: let coding agents handle execution, while people retain oversight of architecture and verification.
Why it mattersThe author also highlights the less glamorous challenge of managing cognitive load, and the risk of technical and knowledge debt. It is a practitioner’s account, not evidence that the approach guarantees better software, but it offers a useful counter to the idea that more agents mean less human responsibility.
Discuss: When AI agents write the code, which decisions should remain firmly in human hands: architecture, verification, or both?
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