AI Didn't Kill Agile. It Moved the Bottleneck.
Why the rise of Forward Deployed Engineering is the next agility problem — and how to scale "unreasonable agility" without it eating itself.
Why the rise of Forward Deployed Engineering is the next agility problem — and how to scale "unreasonable agility" without it eating itself.
Flow metrics are not useful because metrics are good. They are useful when important work is slow, blockers show up late, forecasts are fragile, and leaders need a better way to decide what to start, stop, finish, or fix.
AI coding tools can make engineering dramatically faster. That does not automatically make the business faster. The constraint often moves to deciding what is worth building, reviewing safely, getting adoption, and proving impact.
Revisiting my 2011 Lean Kanban Benelux talk on commitments, flow energy, routing, and predictability, with practical guidance for today's product and portfolio environments.
How flow-based approaches reduce testing bottlenecks and stabilization costs, and why the same constraint-thinking now matters as AI coding shifts the bottleneck from testing working software to validating real value.