High-value review begins with intent. The author should state the operational change, affected invariants, expected failure modes, and the evidence used to validate the implementation.
Reviewers should trace data across boundaries, challenge timeouts and defaults, and ask what happens under partial failure. Small, explicit changes are easier to reason about than heroic patches.
The final review artifact should connect code to tests, simulation results, and rollout controls. Approval then represents engineering evidence, not familiarity.