Code Reviews - Why, what and how
summary
Shows empirical claims and concrete practices: historical studies report 20–30% bug reduction from inspections, automated tests overlap but don’t replace reviews, and edge cases and naming still need humans. Recommends tooling like clang-format and CI, measuring coverage and profiling for performance, and process rules: open small digestible pull requests, include a checklist/pull-request template, run local tests before opening, review promptly, prioritize bugs over nitpicks, and prefer solo first-pass reviews then short paired walkthroughs for major features.
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chapters (26)
- 0:00Introduction and goals
- 1:00Why do code reviews?
- 2:33QA and bug reduction
- 5:01Code reviews vs automation
- 6:40Performance and efficiency
- 7:55Code quality and style
- 8:38Learning and ownership
- 12:30What to review
- 15:17Focusing on what matters
- 17:26Documentation and context
- 20:05Process and culture
- 22:22Preparing for review
- 24:37Avoiding large requests
- 26:48Effective communication
- 28:43Reviewer best practices
- 31:19The review workflow
- 33:24Structural review steps
- 34:51What to look for
- 36:27Constructive feedback
- 38:33Discussion methods
- 39:35Reviewing the code, not user
- 41:01Finalizing the review
- 44:01Reviewer selection
- 46:28Team sharing
- 47:18Iterating the process
- 48:34Q&A session
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