How to Calculate Kanban WIP Limits in the AI Age
Actual starting numbers for active work and queues, including solo and multiplayer spec-driven development, collaboration-pod topology, flow buffers, replenishment cadence, and historical WIP.
Actual starting numbers for active work and queues, including solo and multiplayer spec-driven development, collaboration-pod topology, flow buffers, replenishment cadence, and historical WIP.
AI agents generate code faster than ever, but the bottleneck has shifted to human decision latency and review capacity. Here is the operating system that closes the gap between AI activity and business impact.
When AI coding increases the arrival rate of pull requests, asking reviewers to work faster is the wrong response. Use end-to-end feature flow, spec-driven development, and the Theory of Constraints to improve reviewability and business throughput.
AI isn't killing Scrum, but it is shrinking the team size from cross-functional squads to highly leveraged 1-3 person units. Here is how team-level descaling triggers a fractal collapse of organizational complexity.
Spec-driven development looks like a step backward if you think of it as requirements theater. But the better frame is that the spec is becoming a higher-level programming language for human intent.
Spec-driven development can be a smarter way to steer AI coding agents, or it can become waterfall with more tokens. The difference is whether the spec creates learning or pretends learning is no longer needed.