AI-first Engineering is now the operating default in many organizations, including mine. Developers have kept up. Vibe coding became agentic engineering, and the race towards truly autonomous engineering isn’t slowing. But what are we, managers, to do? A manager job continues to include recruiting and retaining people, setting clear goals and expectations, fostering communication, owning team workflows, and coaching daily behaviors. To this list we must now add driving AI transformation. Being a passive advocate is not enough. Unlike other subjects, no amount of AI training will help you keep up with the pace of evolution of this technology. Therefore, one cannot drive AI transformation without being an active AI practitioner. But what does being an active AI practitioner look like for a manager? To find out, I landed myself into a small Engineering team (7 people) within my 100+ people organization five weeks ago. This small group develops an essential internal Microsoft system used…
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