Supabase Js Engineering Benchmarks
Supabase Js delivery benchmarks are based on 18 merged pull requests in the last 30 days (324 all-time), with 3.0 hours median cycle time, 0.3 hours median review time, and 7 active contributors. AI-related signals appear on 16.7% of recent work. PR volume is down -22% 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 |
|---|---|---|
| chore(deps): bump next in realtime-js example to fix pnpm a… | cmelchior | AI |
| docs(auth): use social sign-in in OAuth comments | alexisintech | — |
| fix(storage): `exists` reports invalid JWT or missing bucke… | cmelchior | AI |
| fix(auth): `deleteUser` miscast empty object to `User` | cmelchior | — |
| chore(deps): bump playwright to 1.64.0 | spydon | — |
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 2 hours, 46 minutes ago.
Updated daily from public GitHub pull requests.
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