Context Stuffing

What it is

Context stuffing is filling the context window with relevant information to help the AI give better responses. This might mean including documentation, examples, background information, or retrieved content. The more relevant context you provide, the more informed the response can be.

Why it matters

Strategic context stuffing improves AI outputs significantly. However, there are trade-offs—more context means higher costs, slower responses, and potential for important information to get lost. The skill is including relevant context while excluding noise. Quality matters more than quantity.