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The Mirror and the Machine: Reclaiming Scrum Refinement in the Age of AI

The Mirror and the Machine: Reclaiming Scrum Refinement in the Age of AI

via Dev.toLeon Pennings

Agile was never meant to be a delivery machine. It was meant to be a learning system. At its core, Agile shortens the feedback loop between business intent and working software—to expose ideas early, validate them quickly, and adapt continuously. The goal was never just to build software, but to discover what the business actually needs by building it. Somewhere along the way, many teams drifted. User stories became work orders instead of expressions of intent. Refinement became premature implementation design instead of shared understanding. And the feedback loop quietly stretched back to the end of the sprint. The Problem with User Stories as Work Orders A good user story expresses intent: What is the user trying to achieve, and why does it matter? In practice, stories too often look like predefined solutions: “I want a button in the top right corner to search.” “Add a ‘costs’ field to each order.” These constrain the solution space from the start. Better alternatives go unexplored.

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