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From Prompt Engineering to Context Engineering: Better Patterns for Real AI Applications
Most failures in a real AI application trace back to missing or messy context, not a weak model. When a production system "hallucinates," the prompt wording is rarely the culprit. It's what the model could and couldn't see at inference time. That changes how we teach lead developers. Prompt…
