What this episode covers
A software engineering leadership conversation about how AI changes developer workflows, review loops, tooling, and the shape of high-performing teams.
Key takeaways
- How developer workflows are changing
- What AI agents mean for engineering managers
- Vercel lessons from modern web engineering
- How teams should adopt AI tools
Why it matters for AI engineering teams
The through-line is production discipline. Teams need clear ownership, evaluation loops, source-of-truth workflows, and deployment patterns before AI systems can move from impressive demos to reliable business processes.
The future of software engineering is a tighter loop between intent, implementation, review, and deployment.