Code reviews are essential for improving code quality but can sometimes hinder progress by going too far.
Issues like perfectionism, scope creep, analysis paralysis, exhaustive reviews, and rigid standards can lead to delays and frustration.
To address these problems, focus on risk-based review intensity, time-boxing, clear guidelines, fostering the right culture, and utilizing tools such as automation and AI reviewers.
Balancing code reviews involves calibrating intensity based on risk, time-boxing reviews, setting clear guidelines, fostering the right culture, and using automation tools.
Ultimately, the goal of code reviews is to deliver value to users while maintaining a sustainable codebase, not striving for perfection.