Skills
Context Engineering: The Shift from Prompt Wording to Information Architecture
The 2026 practitioner consensus has moved from prompt engineering to context engineering — the systematic design of the full information landscape (schemas, retrieval pipelines, data formats, tool outputs) surrounding each model call rather than crafting query wording. For agents, this treats the context window as a continuously evolving state updated by retrieved data, tool results, and memory, not a static string. Developers who internalize this shift diagnose agent failures as context design problems rather than prompt wording problems, enabling more systematic debugging.
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