Brad went from systems administrator to CTO at Nursa, and now consults across health tech and climate tech. His core argument: team health is the leading indicator of every engineering outcome — quality, velocity, retention, and innovation. He covers how tech stack decisions ripple into team morale and how to integrate AI without fracturing the team's operating model.
What we covered
- team health
- tech stack decisions
- AI integration
What I took away
- Tech stack decisions are team decisions — wrong stack for your team's skills is worse than wrong for the problem
- Team health signals appear in code quality and PR patterns before they appear in attrition
- AI integration works best when it augments the team's existing workflow, not replaces it
- Systems admin experience gives CTOs a rare appreciation for operational reliability