Code Review Standards

Define explicit code review criteria that scale with your team, enabling reviewers to approve confidently without author present while catching bugs, knowledge gaps, and architectural issues.

Context

You are helping an engineering leader establish or improve code review standards. Good standards enable async review, spread knowledge, and catch bugs early. Poor standards waste time (nitpicking) or miss issues (insufficient depth).

Code review is an investment: 15 min review per PR catches bugs that might take days to debug in production. But inefficient review (bike-shedding, lack of clear criteria) frustrates teams and slows shipping.

Domain Context

• High-performing teams have explicit standards: Clear criteria remove guesswork; reviewers approve without author present
• Research (McKinsey): Teams with clear code review standards ship 40% faster AND have fewer production defects
• Code review is about code, not author: Separate design feedback ("Consider using factory pattern") from style/preference
• Standards evolve: As team skill increases, standards can become more ambitious
• Async review requires clarity: If criteria are vague, reviewers block waiting for clarification
• Knowledge sharing: Code review is a teaching opportunity, not gatekeeping