Effective Code Review Best Practices and Habits
Best practices for code review

Set clear standards for quality and pull request workflow so reviewers avoid arguing over style, letting automation handle formatting instead.
Improve your reading skills by running the code locally and focusing on the specific purpose of the change rather than trying to learn the entire codebase.
Communicate with the author, explain your reasoning when giving feedback, and document your testing steps and design choices in the pull request description.
- Clarify expectations Set standards and procedures to avoid style arguments.
- Practice code reading Read diverse codebases and run code locally to understand features.
- Leverage automation Use linters and spellcheckers in the pipeline for basic checks.
- Foster collaboration Discuss code with authors and explain feedback reasoning.

To conduct effective code reviews, focus on clarifying expectations, practicing code reading, leveraging automation, and fostering collaborative communication. This approach helps ensure thoroughness without hindering development speed.
Clarify Expectations and Scope
Cultivate Code Reading Skills
Leverage Automation and Tools
Foster Collaborative Communication
Are you currently struggling with a specific aspect of code review in your team?
- Establish clear guidelines to prevent style debates and hurt feelings.
- Keep pull requests small and focused.
- Use linters and autoformatters for basic hygiene.
- Run code locally and focus on the feature's purpose.
- Explain reasoning in feedback and document design decisions.
- Leaving style and basic hygiene checks to human reviewers instead of automation.
- Trying to understand the entire codebase before reviewing a specific change.
- Submitting huge pull requests that are a pain to review.
- Giving feedback without explaining the reasoning behind it.
- Read more open source code to develop your own system for inspection.
- Run the pulled code locally to understand the feature before reading the logic.
- Put testing steps in the pull request description to document the feature.
- Use AI to review your code, but expect some false positives.
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