Growing seniors who can grow others

If you lead engineers, you already know the temptation: solve the hard part yourself. That instinct fights growing seniors who can grow others.

Juniors do not need motivational speeches. They need safe chances to own a slice, fail without shame, and hear specific feedback.

With AI in the loop, mentorship shifts. You coach verification, skepticism, and taste — not just syntax.

Process should be light enough to change. If your AI workflow cannot be updated when a model, connector, or compliance rule changes, you do not have a workflow — you have a ritual.

Sponsor publicly, critique privately, and keep a written trail of growth so progress is not a vibe.

Mentorship that works looks like smaller loops: a review comment that teaches a pattern, a design note that names tradeoffs, a career chat that changes next week’s assignment.

Mentorship scales when seniors narrate tradeoffs in writing. A one-paragraph decision record teaches more than a hallway conversation that evaporates.

On growing seniors who can grow others, the leadership move is to make the invisible visible: ownership, verification, and the path for the next person.

In practice that means shorter cycles: decide, ship a thin slice, review what broke, coach the pattern into the next person. Long programs without those loops become status machines.

Psychology shows up in engineering as safety to ask questions. Without it, AI only accelerates confident mistakes.

I prefer written decisions over verbal ones. Memory is a poor archive, and AI tools make fluent improvisation cheap — which raises the value of durable context.

None of this requires a new framework brand. It requires attention, a short feedback loop, and the humility to change process when agents join the workflow.

Coaching is the mechanism. Process is the memory. Tools are leverage — only when ownership stays human.