Making sense of agility, scaling, OKRs, product operating models, and leadership: written from 15+ years in the field.
Spec-driven development points an agent at a deliverable. Goal-based loops let you point it at a condition instead: the question is whether the condition you picked is an outcome or just green tests.
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You can 10x engineering and still not 10x the business. AI creates speed, not automatic value, and if engineering was not the constraint, that speed just moves the congestion somewhere else.
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Most AI efforts are still stuck in personal productivity. Zoetis CTO Kumar Venugopal on what it takes for AI to change the process itself.
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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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Spec-driven development can be a smarter way to steer AI coding agents, or waterfall with more tokens. The difference is whether the spec creates learning.
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Moving from chatting with AI to unleashing agentic AI is not just a productivity boost. It changes leadership work: humans move up a level.
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