Context Engineering Has Supplanted Prompt Engineering

The industry consensus in 2026: context architecture is the primary skill for working with LLMs, not prompt wording. The key asymmetry: a well-crafted prompt in a poorly engineered context still fails, but a poorly crafted prompt in a well-engineered context often succeeds. 82% of IT and data leaders surveyed agree that prompt engineering alone is insufficient at scale. The practical framework: think about what information the model sees, not just how you phrase the instruction.

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Sources: Neo4j Blog · Firecrawl Blog · deepset Blog