Realtime Engineering Benchmarks
Realtime delivery benchmarks are based on 68 merged pull requests in the last 30 days (377 all-time), with 1.7 hours median cycle time, 0.7 hours median review time, and 7 active contributors. AI-related signals appear on 2.9% of recent work. PR volume is up 94% compared to the prior period.
Repo vs Supabase Average
Delivery Trend and AI Signals
PR Backlog (Humans)
Excludes AI agents and automation accounts.
PR Backlog (AI Agents)
AI coding agents only.
Cycle Time by AI-Related Signals
PR Breakdown
Top AI Tools
PR Type Breakdown
Recent Pull Requests
View PR Explorer| Title | Author | AI |
|---|---|---|
| fix(jwt): validate exp and iat numeric | leandrocp | — |
| chore: update @supabase/supabase-js to v2.107.0 | supabase-libs-pr-manager | AI |
| feat(observability): per-tenant subscription metrics | leandrocp | — |
| chore: fix flaky tests | edgurgel | — |
| fix: pg changes improvements | edgurgel | — |
Methodology
Metrics are computed from merged pull request data synced daily from GitHub. AI-related metrics are directional signals inferred from pull request activity patterns and heuristics. Summary metrics use a 30-day rolling window; trends use a 90-day window. Last updated 17 hours, 33 minutes ago.
Updated daily from public GitHub pull requests.
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