Dashboard Metrics

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Summary

Merged Pull Requests: Total pull requests successfully merged. Active Users: Distinct users whose pull requests were reviewed by CodeRabbit. Median Time to Last Commit: Median time from review readiness to last commit.

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Median of (last_commit - ready_for_review) where:

• ready_for_review: Timestamp when PR was marked ready for review (or creation date if never in draft)
• last_commit: Timestamp of the last non-merge, non-rebased commit (or merge date if no new commits)

Reviewer Time Saved: AI-estimated human reviewer time saved during pull request reviews.

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Sum of estimated review effort displayed in the Walkthrough section of each merged PR, representing the human review time saved since CodeRabbit’s automated analysis handles the initial code review.

CodeRabbit Review Comments: Review comments posted by CodeRabbit on merged PRs. Acceptance Rate: Percentage of CodeRabbit comments accepted by developers. Avg Review Comments Posted per PR: Average review comments per pull request from CodeRabbit and human reviewers. Review Comments by Severity: Distribution of CodeRabbit review comments grouped by severity. Severity Distribution: Radar view of CodeRabbit comments by severity, showing posted vs accepted. Review Comments by Category: Distribution of CodeRabbit review comments grouped by category.

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Categories describe the type of issue identified:

• Security & Privacy: Vulnerabilities that enable exploitation or expose sensitive data (e.g., auth bypass, injection attacks, exposed secrets)
• Data Integrity & Integration: Problems that corrupt data or break API/schema contracts (e.g., transaction issues, schema mismatches, broken migrations)
• Performance & Scalability: Inefficiencies impacting speed or resource usage (e.g., N+1 queries, missing caching, unoptimized loops)
• Stability & Availability: Issues causing crashes, hangs, or resource leaks at runtime (e.g., null pointer errors, memory leaks, deadlocks)
• Functional Correctness: Logic errors producing wrong results (e.g., off-by-one errors, incorrect conditions, algorithm mistakes)
• Maintainability & Code Quality: Code hygiene affecting readability and future changes (e.g., unclear naming, duplication, poor structure)

Data captured from Nov 10, 2025 onwards.

Category Distribution: Radar view of CodeRabbit comments by category, showing posted vs accepted.

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Categories describe the type of issue identified:

• Security & Privacy: Vulnerabilities that enable exploitation or expose sensitive data (e.g., auth bypass, injection attacks, exposed secrets)
• Data Integrity & Integration: Problems that corrupt data or break API/schema contracts (e.g., transaction issues, schema mismatches, broken migrations)
• Performance & Scalability: Inefficiencies impacting speed or resource usage (e.g., N+1 queries, missing caching, unoptimized loops)
• Stability & Availability: Issues causing crashes, hangs, or resource leaks at runtime (e.g., null pointer errors, memory leaks, deadlocks)
• Functional Correctness: Logic errors producing wrong results (e.g., off-by-one errors, incorrect conditions, algorithm mistakes)
• Maintainability & Code Quality: Code hygiene affecting readability and future changes (e.g., unclear naming, duplication, poor structure)

Data captured from Nov 10, 2025 onwards.

Avg Review Iterations per PR: Average number of review iterations per pull request.

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Count of review events per PR.

Tool Findings: Automated tool findings surfaced during reviews.

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• SAST: Security scanners like Semgrep, Gitleaks, Checkov
• Linter: Code quality tools like ESLint, RuboCop, Flake8
• Other: Unrecognized tools

Pipeline Failures: CI/CD pipeline failures detected during reviews.

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Quality Metrics

Acceptance Rate by Severity: Percentage of CodeRabbit comments accepted, grouped by severity.

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(Accepted comments ÷ Posted comments) × 100 calculated per severity level.

Review Comment Count by Severity: Number of CodeRabbit comments posted and accepted, grouped by severity. Acceptance Rate by Category: Percentage of CodeRabbit comments accepted, grouped by category.

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(Accepted comments ÷ Posted comments) × 100 calculated per category.Data captured from Nov 10, 2025 onwards.

Review Comment Count by Category: Number of CodeRabbit comments posted and accepted, grouped by category.

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Data captured from Nov 10, 2025 onwards.

Tool Findings by Tool Name: Automated tool findings grouped by individual tool. Tool Findings by Severity: Automated tool findings grouped by severity.

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Comment categories

Categories describe the type of issue identified:

• Security & Privacy: Vulnerabilities that enable exploitation or expose sensitive data (e.g., auth bypass, injection attacks, exposed secrets)
• Data Integrity & Integration: Problems that corrupt data or break API/schema contracts (e.g., transaction issues, schema mismatches, broken migrations)
• Performance & Scalability: Inefficiencies impacting speed or resource usage (e.g., N+1 queries, missing caching, unoptimized loops)
• Stability & Availability: Issues causing crashes, hangs, or resource leaks at runtime (e.g., null pointer errors, memory leaks, deadlocks)
• Functional Correctness: Logic errors producing wrong results (e.g., off-by-one errors, incorrect conditions, algorithm mistakes)
• Maintainability & Code Quality: Code hygiene affecting readability and future changes (e.g., unclear naming, duplication, poor structure)

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Time Metrics

Time to Merge: Duration from PR review-ready to merge. Shown as average, median, P75, and P90.

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(pr_merge - ready_for_review) where:

• ready_for_review: Timestamp when PR was marked ready for review (or creation date if never in draft)
• pr_merge: Timestamp when the PR was merged

Weekly Review-Ready → Merge Time: Weekly trend of time from review-ready to merge. Time to Last Commit: Duration from PR review-ready to final commit (or merge if no later commit). Shown as average, median, P75, and P90.

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(last_commit - ready_for_review) where:

• ready_for_review: Timestamp when PR was marked ready for review (or creation date if never in draft)
• last_commit: Timestamp of the last non-merge, non-rebased commit (or merge date if no new commits)

Weekly Review-Ready → Last Commit Time: Weekly trend of time from review-ready to final commit. Time to First Human Review: Duration from PR review-ready to first human review comment. Shown as average, median, P75, and P90.

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(first_human_review - ready_for_review) where:

• ready_for_review: Timestamp when PR was marked ready for review (or creation date if never in draft)
• first_human_review: Timestamp of the first review submitted by a human reviewer

Weekly Review-Ready → First Human Review Time: Weekly trend of time from review-ready to first human review.

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Understanding time metrics

• Average: Overall average duration across all PRs
• Median: Typical duration (less affected by outliers)
• P75: 75th percentile, helps identify PRs taking longer than usual
• P90: 90th percentile, highlights potential bottlenecks

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Org Trends

Weekly Pull Requests: Created & Merged: Weekly counts of pull requests created and merged. Weekly Avg Comments per PR: CodeRabbit & Human: Weekly average review comments posted by CodeRabbit and human reviewers. Weekly Active Users: Weekly count of distinct users whose PRs were reviewed by CodeRabbit. Weekly Pipeline Failures: Weekly trend of CI/CD pipeline failures detected during reviews. Most Active Pull Request Authors: Top 10 contributors ranked by number of merged PRs. Most Active Pull Request Reviewers: Top 10 contributors ranked by number of PRs reviewed.

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Data Metrics

Active User Details: Per-user summary of pull request activity and reviews.

Show Fields included

• PRs Created: Number of PRs created by the user
• PRs Merged: Number of PRs merged by the user
• Median Time to Last Commit: Median time for PRs authored by the user
• Total Review Comments: CodeRabbit comments posted on their PRs
• Overall Acceptance Rate: Percentage of comments accepted
• Critical Comments: Posted vs accepted
• Major Comments: Posted vs accepted
• Other Comments: Posted vs accepted

Pull Request Details: Detailed review metrics for each merged pull request.

Show Fields included

• Repository: Repository name
• Author: PR author
• Created At: PR creation timestamp
• First Human Review: Timestamp of first human review
• Merged At: PR merge timestamp
• Estimated Complexity: AI-estimated PR complexity
• Estimated Review Time: AI-estimated review effort
• Number of Human Reviewers: Count of human reviewers
• Human Review Comment Count: Comments from human reviewers
• Total CodeRabbit Comments: Posted vs accepted
• Critical Comments: Posted vs accepted
• Major Comments: Posted vs accepted
• Other Comments: Posted vs accepted
• Tool Findings: Automated tool issues found
• Pipeline Failures: CI/CD failures detected

Tool Finding Details: Automated tool findings surfaced during review for merged pull requests.

Show Fields included

• Tool Name: Name of the tool (e.g., ESLint, Semgrep)
• Category: Rule type or issue category
• Severity: Warning, error, grammar, style, or unknown
• Count: Number of occurrences