Your Kanban Board Ends Too Early
Does your board stop at deliverable and output, or does it go towards outcome: the changed behavior for somebody? Most boards stop at deployed, and that is what teaches people deployment is success.
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Making sense of agility, scaling, OKRs, product operating models, and leadership: written from 15+ years in the field.
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Teach your AI agents to help you Focus on Flow
Flow metrics aren't useful because metrics are good. They're useful when important work is slow, blockers show up late, and forecasts keep missing. Agentic development made all of that sharper, and your agents can be taught to watch for it.
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How to Customize Your SAFe for the AI Age
Most of your scaling apparatus is now optional. Your first principles are not. A companion for leaders running SAFe while adopting AI-native, spec-driven development, and trying to tell the difference.
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How to Customize Your Scrum for the AI Age
Is Scrum still relevant when agents write the code? Yes, and more than before, provided you are willing to customize it. A companion to the Scrum Guide walking the accountabilities, events, artifacts, and values for a team running an AI-native, spec-driven lifecycle.
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How to Customize Your Team Flow for the AI Age
A companion to the Kanban Guide for Scrum Teams for AI-native product teams. What changes in your Definition of Workflow, WIP limits, flow metrics, and Scrum events once agents do the building, and what happens to scaling when the old dependencies start dissolving.
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Do WIP Limits Still Make Sense When Agents Write the Code?
Starting numbers for active work and queues, covering solo and multiplayer spec-driven development, pod topology, flow buffers, and replenishment cadence.
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