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.
Operating Model
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AI Coding Made Code Review the Bottleneck. Now What?
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.
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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.
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If AI Coding Made Engineering Faster, Why Isn't The Business Faster?
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.
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From Personal Productivity To AI Operating-Model Change — A Conversation With Zoetis CTO Kumar Venugopal
Most AI efforts are still stuck in personal productivity. The interesting shift starts when AI moves from something individuals use around the edges of the process to something that changes the process itself. This is what that shift actually looks like inside a Fortune 500 from the CTO's chair.
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How to Upgrade Your Scaling SMB's Operating System Without Losing Agility
Growth is supposed to feel like acceleration. For most 50-500 person companies it feels like wading through mud. Four systemic traps that slow scaling companies down, and how to escape them without giving up the agility that got you here.