Code Review in a Minute

Code Review

Practical review techniques from individual diffs through AI-generated changes.

Central question: What actually changed, and is it safe to approve?

• Reading a Diff

  How to read a unified diff so you see intent, risk, and missing evidence—not just changed lines.

• Reviewing AI-Generated Code

  How to review agent-produced changes when volume is high and PR descriptions may overclaim.

• Evidence-Based Approval

  Approve when the change and its supporting evidence match the claim—not when the summary sounds good.

• PR Size

  Why pull-request size affects review quality, and what “small” actually means in practice.

• Reviewing Large Changes

  A practical order for reviewing big diffs without pretending you can absorb everything at once.

• Reviewing Test Changes

  How to read test diffs so weakened assertions and generated happy-path tests do not pass as coverage.

• Identifying High-Risk Changes

  A practical map of change types that deserve extra scrutiny regardless of who authored them.

• Reviewing Dependency Changes

  How to review lockfile and package updates as engineering evidence—not as invisible noise.

• Semantic vs Stylistic Changes

  Separate behavior-changing edits from formatting and naming noise so review time goes where risk lives.