REVIEW QUALITY & ANALYTICS

Track review quality, codebase health, and developer velocity.

GitRabbit compiles diagnostic reports to help teams measure review accuracy and developer velocity. Monitor average PR approval times, identify projects experiencing elevated defect density, and check how many AI suggestions are accepted vs rejected to measure custom rules effectiveness.

Key_Capabilities

Velocity Tracking

Track code review cycle times and blockages across various team units.

Suggestion Actionability

View the acceptance rate of GitRabbit suggestions to check rule quality and filter out noise.

Codebase Health Index

Consolidated index charting vulnerability scores, test coverage, and documentation depth.

Setup_Sequence

Step 01

Open Analytics Dashboard

Navigate to the GitRabbit web console and click the Analytics tab.

Step 02

Select Scope

Filter metrics by organization, repository, specific team, or time period.

Step 03

Export Reports

Download summaries as CSV, JSON, or configure scheduled PDF delivery to Slack or email.

Code_Example

Sample metrics JSON payload exported from API

{
  "repo": "frontend-app",
  "period": "2026-Q3",
  "average_pr_cycle_hours": 3.4,
  "suggestions_provided": 1420,
  "suggestions_accepted_pct": 84.5,
  "detected_bugs_escaped_to_production": 0,
  "codebase_health_score": "A-"
}

Pro_Tips

✦Low suggestion acceptance rates? Tweak your rules.yml to prevent the agent from leaving comments your team finds pedantic.
✦Integrate analytics into your monthly sprint reviews to monitor code quality improvements over time.

Team Rules Custom Workflows