Realtime Engineering Benchmarks
Realtime delivery benchmarks are based on 52 merged pull requests in the last 30 days (473 all-time), with 9.0 hours median cycle time, 3.6 hours median review time, and 4 active contributors. AI-related signals appear on 1.9% of recent work. PR volume is down -2% 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
Recent Pull Requests
View PR Explorer| Title | Author | AI |
|---|---|---|
| feat: muster o11y | edgurgel | — |
| chore: update @supabase/supabase-js to v2.110.9 | supabase-libs-pr-manager | — |
| fix: ensure fanout metric is collected on the sending node | edgurgel | — |
| fix: map jwt errors | leandrocp | — |
| fix: migration realtime.uuid not null | leandrocp | — |
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 28 minutes ago.
Updated daily from public GitHub pull requests.
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