AI code review address rate uses developer action as evidence that a finding was useful. A comment may count as addressed when the code changes, the issue is explicitly resolved or the team records another accepted response.
Address rate is more informative than satisfaction alone but is not a complete accuracy metric. Developers may ignore valid feedback or change code to silence a poor comment, so severity, sentiment and sampled quality review remain necessary.
ELI5
AI code review address rate is the share of automated review comments that developers act on. An item can count when code changes, the issue is explicitly resolved or the team records another accepted response.
For example, if developers address 60 of 100 review findings, the address rate is 60 percent. That does not prove every comment was correct because people can ignore good feedback or change code to silence a bad comment, so sampled quality and severity still matter.
How is code review address rate calculated?
It divides the number of automated findings developers addressed by the total number of eligible findings in the measured period.
Does a high address rate prove review accuracy?
No. It indicates action, but teams still need sampled expert review to determine whether findings and resulting changes were correct.
