Telemetry from ai_reviews
Explore risk patterns, rerun behavior, and review outcomes for your filtered pull requests.
Start here for a quick health snapshot, then use the grouped sections below to inspect root causes and trends.
Avg PR risk
34.7
Re-review rate
0%
Avg runs / PR
1
Eventual approval
100%
Automatically detected patterns that may need triage or process adjustments.
Large PR alert: PRs with diff > 10 KB or > 10 files — consider splitting
2Clean streak: Developers with 5+ consecutive APPROVED reviews
1Vulnerability hotspot: Repos with critical + high vulnerabilities
2Distribution, trend, and correlation charts to explain what drives risk and blocking outcomes.
Read this section from top to bottom: transition patterns, cohort progression, and remaining blockers by rerun index.
Tracks the share of PRs approved on run 1, run 2, or run 3+ by first run week.
| Cohort week | Approved by run1 | Approved by run2 | Approved by run3+ |
|---|---|---|---|
| 2026-09-07 | 1 | 0 | 0 |
| 2026-09-14 | 5 | 0 | 0 |
Percentage of PRs that remain blocking after each rerun index.
| Run index | Still blocking | Observed PRs | Still blocking % |
|---|---|---|---|
| Run 1 | 6 | 6 | 100% |
Sorted by highest risk. At most 25 rows; scoped to your current filters.
No pull requests in this window scored 70 or above. Try widening the date range or relaxing other filters.