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Your team at a glance. ● Prep ready
Maker time data appears after daily snapshots are generated.
AI Insight
Data Engineering is operating with zero blockers and full visibility across the team, but the absence of merged PRs today and insufficient delivery cadence data suggest the team may be in a planning or review phase rather than active shipping. Review turnaround remains healthy at 10 hours, though one repository carries elevated bus factor risk. The team is well-positioned operationally, but the lack of delivery momentum signals either a natural lull or a potential gap in tracking—either way, clarifying cadence expectations now prevents surprises later. The bus factor concern on one repo is manageable at this team size but worth addressing before it becomes a bottleneck.
sdk
api
docs
data-pipeline
Healthy feature focus (61%).
Feature 61%
114 PRs
Refactor 13%
24 PRs
Bug Fix 12%
23 PRs
Docs 8%
15 PRs
Infra 4%
7 PRs
Tests 3%
5 PRs
Large swings in output — may indicate planning or blocking issues
Your team merges an average of 35 PRs per week.
3 things need attention
3 PRs waiting on review for over 3 days. Consider prioritizing the oldest ones.
Sakura Ito merged in sdk
Lukas Bauer merged in api
François Dubois opened in api
Marco Bianchi opened in sso
Fatima Al-Hassan reviewed in api
Kenji Yamamoto reviewed in sso
Omar Hassan opened in auth
Isabella Torres resolved in MEROV
35
Engineers
5 teams
3
PRs awaiting review
Open >3 days
0
Stale tickets
All active
3
Needs attention
Blockers detected