What do you look at first when reviewing a massive AI-generated pull request?

Reviewing code from an AI tool can honestly be more exhausting than writing it from scratch, especially when it drops a massive diff touching ten different files at once. A short summary of trade-offs helps, but half the time the agent's explanation sounds convincing even when the underlying logic has a subtle edge-case bug. I usually skip right to the risky paths and manual test logs instead of reading the description. When you look at an agent's handoff, what sections do you actually read, and what do you completely ignore?