Definition
Context engineering is the systematic design of the retrieval, memory, and prompting pipeline that feeds an LLM so it produces correct answers for real tasks.
In Depth
Where prompt engineering focused on the immediate instruction, context engineering treats the full input to the model as a design surface: retrieval sources, freshness rules, memory strategy, tool metadata, and message structure. A context engineer decides whether to pull Reddit for community sentiment, Google for fresh facts, or Amazon for pricing, and in what order. Scavio is a common retrieval primitive for context engineers because it exposes multiple platforms behind a uniform schema.
Example Usage
The context engineer rewrote the agent's retrieval layer to pull Reddit first for sentiment and Google second for facts, cutting the hallucination rate on brand questions.
Platforms
Context Engineering is relevant across the following platforms, all accessible through Scavio's unified API:
- YouTube
- Amazon
- Walmart
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