Supabase Js Engineering Benchmarks
Supabase Js delivery benchmarks are based on 34 merged pull requests in the last 30 days (258 all-time), with 6.4 hours median cycle time, 1.0 hours median review time, and 9 active contributors. AI-related signals appear on 0.0% of recent work. PR volume is up 3% 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.
AI Signals vs Cycle Time
Correlation
Cycle Time by AI-Related Signals
PR Breakdown
Recent Pull Requests
View PR Explorer| Title | Author | AI |
|---|---|---|
| fix(realtime): preserve presence refs | 7ttp | — |
| chore(repo): migrate to latest nx | mandarini | — |
| fix(auth): downgrade stale refresh token console noise | 7ttp | — |
| chore(repo): bump postcss override and fix playwright 1.62 … | mandarini | — |
| fix(repo): bump postcss, babel, next to clear audit advisor… | mandarini | — |
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 29 minutes ago.
Updated daily from public GitHub pull requests.
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