How does Merge Mind's Feedback Learning improve future reviews?

Feedback Learning treats developer reactions to review comments, resolving them, accepting them, or ignoring them, as signals about what the team actually considers valuable feedback.

• A comment that's consistently resolved as valid reinforces that pattern as worth flagging in future reviews
• A comment type that gets repeatedly dismissed can be deprioritized over time
• This tuning happens in addition to, not instead of, the codebase pattern learning from Initial and Continuous Learning

Over weeks of usage, this is described as leading to reviews that increasingly reflect a specific team's preferences rather than generic best practices alone.

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