Reducing the cognitive load of AI changes
Summary
The article discusses how AI-generated code can use terminology that mismatches a reviewer’s mental model, increasing cognitive load. It presents a workflow using a pre-review prompt to extract and map unconventional terms to preferred terms, enabling easier code review and documentation alignment. The approach helps reviewers align AI language with their own terminology to reduce cognitive overhead.