What happens to explainability after trust is earned

CodeRabbit initially focused on building trust with developers by providing comprehensive explanations for its AI-driven code review findings, allowing developers to verify the AI's reasoning and build confidence in its accuracy. This thoroughness helped teams evaluate the tool's effectiveness, but as trust was established, developers began seeking prioritization over volume in the feedback. This led to the introduction of Quiet mode, a review profile that maintains the depth of analysis but focuses inline comments on critical and major issues while grouping minor findings in the review summary. By shifting from exhaustive to prioritized feedback, CodeRabbit aims to enhance the readability of PR threads for trusted users, ensuring that the most impactful findings are highlighted without overwhelming developers. Quiet mode, along with other review profiles like Chill and Assertive, allows teams to tailor the communication of findings to their trust level and workflow preferences, reflecting an evolution in how CodeRabbit balances explainability with user needs.

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