Which part of an AI handoff actually helps you review the code?

A small diff helps, but it doesn't tell you why an agent chose that approach.

For a change that touches validation, authorization and a database write, I'd want to understand the decisions before looking at a green test result.

I'm interested in what makes that handoff useful in practice. A short explanation of the tradeoffs, a list of the tests that actually ran, and a walkthrough of the risky paths all seem useful.

The useful part would be enough detail to check the work without replaying the whole conversation.

Which part of that handoff actually changes your review decision, and what do you still inspect yourself?