Code review

Review is a conversation about a change

A useful review asks whether the change solves the intended problem, behaves correctly, and remains understandable to the next person who maintains it. Tests, naming, error handling, and interactions with existing behavior can all matter.

The reviewer needs context. A short explanation of the problem and the author's approach often does more for review speed than another reminder to approve the request. Large unrelated changes make that context harder to reconstruct.

What an approval does and does not mean

Imagine an illustrative change that adds a retry around a payment request. The happy-path test passes, but a reviewer notices that retrying after a network timeout could submit the operation twice. A discussion about idempotency prevents a production problem that a quick style check would miss.

An approval is still a judgment made with limited information. It does not guarantee correctness, security, or adequate test coverage. Automated checks and production feedback provide different forms of evidence.

Measuring the process

Separate waiting for a first response from time spent addressing feedback. A long wait may indicate unclear ownership or overloaded reviewers. Several review rounds may indicate missing context, a difficult design question, or a productive discussion.

Do not assume that fewer comments or faster approvals mean better reviews. Read representative examples and compare quality outcomes. AI-generated suggestions deserve the same scrutiny: a large number of comments can create work for authors without finding a meaningful defect.