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Async non-blocking Code Reviews | Frank Koornstra
Improve code reviews with async non-blocking techniques, optimize reviewer load, and establish a positive atmosphere for a more constructive and efficient collaborative process.
- Blocking comments are those that require additional work before approval, such as fixing low-quality tests or resolving blocking issues.
- Offloading tasks to others, like requesting feedback from multiple people, can reduce the load on reviewers.
- Code reviews should not be overly critical, as this can lead to writer’s block and discouragement.
- Developing a code review etiquette can help establish a positive and constructive atmosphere.
- Using async and non-blocking patterns can improve code reviews by reducing the overhead of real-time feedback.
- Pairing or co-designing with others can help identify and resolve issues more efficiently.
- Using code review tools, such as PHPCS, can help automate quality checks and improve consistency.
- Communicating upfront and setting expectations can help prevent misunderstandings and conflicts.
- Smaller, focused code reviews can be more effective than lengthy, comprehensive reviews.
- Leaving technical discussions to those with specialist knowledge can help ensure that issues are addressed correctly.
- Inconsistent commenting can lead to confusion and increase the number of revisions; use clear and concise language to avoid this.
- Using a consistent naming convention and following coding standards can improve readability and maintainability.
- Code reviews should not be seen as an opportunity to criticize or scold, but rather as a collaborative process to improve code quality.
- Using asynchronous communication can help reduce the Load on reviewers and improve efficiency.
- More reviewers do not always mean better, as this can lead to confusion and conflicting opinions; select reviewers based on their expertise and the issue at hand.
- Code reviews should be conducted in a timely manner to prevent issues from falling through the cracks.
- Continuous integration and continuous deployment can help improve code quality and reduce the need for extensive code reviews.
- Disagreeing and committing can be a useful approach to code reviews, as it allows for rapid progress while still considering feedback.
- Retrospective analysis can help identify patterns and areas for improvement in code reviews.
- Modeling code reviews after successful patterns, such as the four-quadrant model, can help establish effective best practices.