Telemetry from ai_reviews
Metrics are grouped by activity, quality, and risk to make trends easier to scan and compare.
Track how much review work is happening and how often PRs require additional runs.
Total PRs reviewed
0
Unique PRs
0
Distinct PR identity (repo + PR id)
Review runs
0
All collected runs for those PRs
Re-review rate
—
PRs with 2+ runs
Avg runs per PR
—
Total runs / unique PRs
Median runs to non-blocking
—
First run index where final decision is non-blocking
Median first→latest time
—
Across PR lifecycles with multiple runs
Understand decision quality, approval flow, and overall evaluation index.
First-pass approval
—
Run 1 code verdict = APPROVED
Eventual approval
—
Latest run code verdict = APPROVED
Approval rate
—
Code verdict = APPROVED / with verdict
Block rate
—
final_decision_blocking
EQI
—
0-100 cohort
Highlight security findings and operational cost of review cycles.
Avg review duration
—
Code + security duration (sample)
Vulnerabilities (counts sum)
0
Dependency severity counts in sample
Secrets intercepted
0
secret_scan_secrets_found