This article argues that for massive diffs you should let AI handle low-level checks and use your time to feed it the domain knowledge AI or the author lacks—like deprecated services, codebase conventions, or high-level design context. You prompt the AI with this “out-of-distribution” info instead of nitpicking every line, unless you’re in a context where each line is critical.

• For huge diffs, let AI catch syntax errors, style nits, and common vulnerability patterns instead of manually reading every hunk.
• The reviewer's real value is injecting "out-of-distribution" context the AI lacks—deprecated services, codebase conventions, design rationale—rather than nitpicking lines.
• This tradeoff only works for typical backend/web/mobile code; safety-critical or embedded systems still require full human line-by-line review.