The PERFECT Code Review: How to Reduce Cognitive Load While Improving Quality

The article defines code review as a way to verify that code meets business or technical requirements, then argues that a lightweight but structured process usually delivers enough value to justify itself. It frames review as a spectrum of practices and says teams should keep it only when it prevents real issues and supports delivery.

Reading notes

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• Code review should verify that code solves the task and matches a defined set of requirements.
• Review is justified by business or technical needs, not by personal taste alone.
• A structured review process can reduce the time cost and avoid cargo-cult approvals.
• The PERFECT principles order review concerns by importance.
• Purpose means checking that the code actually solves the intended task.
• Edge cases include business and technical corner cases, boundary values, nullability, and “impossible” cases that may become risky later.
• Reliability focuses on performance and security issues, including complexity, validation, credential storage, integrations, and cache invalidation.
• Form concerns whether code follows design principles and keeps high cohesion and low coupling.
• Evidence means tests and CI pipelines pass, and broken or ignored automation should be removed.
• Clarity means the code communicates intent clearly and can be read without full line-by-line effort.
• Taste covers personal preferences that can be noted without blocking changes unless they become shared agreements.
• The process should use written conventions, self-review, clear review rules, automation, and practice.
• “LGTM” approvals are discouraged because they can signal shallow review.
• Not every principle must be used in every project; teams can apply the ones that bring real value.