A development pattern is not a one-time drawing. It participates in a loop: an intended design becomes a sample, the sample produces evidence, and that evidence returns as a technical decision.
The quality of the loop depends on separating observation from interpretation. “The front looks wrong” is an observation with low precision. A useful record asks where, under what posture, against which specification, and after which construction process.
The pattern action must then remain linked to the result. A correction that was proposed is not yet a correction that worked. This distinction matters for both professional evidence and future AI systems.
My developing practice is to record five things: source, observation, reasoning, action and validation. That structure makes learning reusable while leaving room for uncertainty.
Practice note: This article documents a working framework and learning direction. It does not disclose confidential buyer or employer material.
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