The practitioner transformation from prompt-first to context-first AI work — with real before/after artifacts, four progressive stages, and a discrimination test for knowing when each approach is right.
Named principles for context engineering — less is more, knowledge gardening, structure over retrieval — discovered through daily agent usage, not academic theory.
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