How to Calculate Kanban WIP Limits in the AI Age
Starting numbers for active work and queues, covering solo and multiplayer spec-driven development, pod topology, flow buffers, and replenishment cadence.
Product
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· ProductProduct Adoption: Don't Build Before You Feel Pull
The best time to solve a feature adoption problem is before development. Talk about the user's project, look for real pull, and don't build on polite interest.
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How Far Along Is Your Project-to-Product Shift?
An AI coaching prompt from my "Product Orientation Through LPM" talk: pressure-test one real initiative, find the real gap, and get one experiment to run.
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· ProductDiscovery Is De-Risking, Not Requirements Gathering
Most organizations execute projects well and realize value poorly. Reframe discovery as de-risking — plus a decision rule and an interactive tool to try it.
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Why Agile Is Really Risk-Driven Development
Value and risk are correlated almost everywhere. You cannot remove the risk that comes with real value, but you can de-risk it efficiently. That is agile.
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AI Coding Made Code Review the Bottleneck
When AI coding raises the arrival rate of pull requests, telling reviewers to work faster is the wrong move. Fix reviewability and end-to-end flow instead.