· Flow
Outcome Framing Coach: Shifting Teams from Output to Outcome
A new open-source AI agent skill to help teams rewrite their work items from output/activity language to outcome-oriented language using a simple taxonomy.
Flow
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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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· FlowWhy Focus on Flow Metrics? The Problems They Help You See
Flow metrics are not useful because metrics are good. They are useful when important work is slow, blockers show up late, forecasts are fragile, and leaders need a better way to decide what to start, stop, finish, or fix.
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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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Why Your AI Effort Has Activity But Not Impact
If your AI effort has plenty of pilots, training, tools, and output but still not enough business traction, the problem may not be AI. It may be that AI is improving the wrong part of the system.