Engineering Leadership in the Age of AI
summary
Practical playbook for managers and senior engineers who must convert hype into repeatable practices: applies Amy Edmondson’s psychological safety with a trust = competence + character model, uses conversational capacity (candor + curiosity), situational leadership via a skill/will matrix, and the GROW coaching flow. Shows concrete tooling: CI/CD, peer code review augmented by ChatGPT/Claude and AI agents, metrics (MTTR, lead time), RACI role checks, and decision patterns (command/consult/vote) plus lightweight experiments to validate risky, one-way choices. Emphasis is on tests that ship fast and measurable team outcomes like reduced incidents and faster delivery.
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chapters (8)
- 0:00Engineering leadership in AI era
- 2:18From scarcity to abundance mindset
- 9:40Psychological safety in teams
- 15:22Growing engineers in AI age
- 23:51Mentoring vs coaching
- 30:28AI tools for conflicts
- 33:36AI-aware decisions
- 44:04Q&A on motivation
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