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
102
Unique PRs
102
Distinct PR identity (repo + PR id)
Review runs
157
All collected runs for those PRs
Re-review rate
22.5%
PRs with 2+ runs
Avg runs per PR
1.54
Total runs / unique PRs
Median runs to non-blocking
1
First run index where final decision is non-blocking
Median first→latest time
37m 31s
Across PR lifecycles with multiple runs
Understand decision quality, approval flow, and overall evaluation index.
First-pass approval
50%
Run 1 code verdict = APPROVED
Eventual approval
54.9%
Latest run code verdict = APPROVED
Approval rate
66.7%
Code verdict = APPROVED / with verdict
Block rate
92.2%
final_decision_blocking
EQI
48.6
0-100 cohort
Highlight security findings and operational cost of review cycles.
Avg review duration
105.5s
Code + security duration (sample)
Vulnerabilities (counts sum)
8812
Dependency severity counts in sample
Secrets intercepted
1
secret_scan_secrets_found