#133 - Build the Learning Machine: AI Adoption, Flow Metrics, and the Future of the CTO Role with Eric Bowman
About this episode
Eric Bowman discusses AI adoption and the evolving role of the CTO in software development.
Eric Bowman (CTO @ King.com, previously CTO at TomTom and VP Engineering at Zalando) returns to the alphalist podcast to unpack what “agentic engineering” really means in practice—and how to introduce it to teams without turning it into a mandate. We talk about the uncomfortable trade-offs behind “YOLO mode” tooling, why adoption should feel voluntary even when you set explicit goals (like “five AI-assisted commits” as a company-level key result), and why the real opportunity isn’t just faster coding—it’s building a learning system that relentlessly reduces time-to-learning and time-to-value. The conversation spans practical rollout patterns, DORA/value-stream thinking, Toyota’s Andon-cord mindset applied to software, multi-agent decision support with MCP, and why the CTO role may keep converging with product as AI pushes organizations to optimize for iteration speed over output volume.
People in this episode
Host: Tobias Schlottke
Guest: Eric Bowman
Topics covered
- AI adoption
- agentic engineering
- learning systems
- software development
- CTO role
- iteration speed
Keywords
- AI-assisted commits
- DORA
- value-stream thinking
- Toyota Andon-cord
- multi-agent decision support
- iteration speed
- learning machine
Mentioned in this episode
Organizations: King.com, TomTom, Zalando
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