· Insights
From AI Theater to Unreasonable Agility
AI coding made engineering much faster, so the bottleneck moved. Why AI theater, token-usage metrics, and defensive R&D block real agility.
Tag: ai-bottlenecks
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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.
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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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Why Your AI Effort Has Activity But Not Impact
Plenty of pilots, training, tools, and output but not enough business traction? The problem may not be AI. AI may be improving the wrong part of the system.
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· FlowWIP Limits in Scrum with Kanban in the AI Age
WIP limits in Scrum with Kanban are no longer just good practice — they are the valve that keeps AI-accelerated coding from piling up downstream queues.
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Spraying GenAI Everywhere? Try This First
Scattering AI initiatives without finding your bottleneck wastes effort. A Theory of Constraints lens helps you aim GenAI at the right problem first.