Supabase Js Engineering Benchmarks
Supabase Js delivery benchmarks are based on 49 merged pull requests in the last 30 days (200 all-time), with 2.2 hours median cycle time, 0.4 hours median review time, and 10 active contributors. AI-related signals appear on 4.1% of recent work. PR volume is up 58% 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 |
|---|---|---|
| ci(ci): set persist-credentials to true for revert commit | mandarini | — |
| ci(ci): fix dogfood CI step | staaldraad | — |
| docs(auth): document timing impact of lockless coordination… | mandarini | — |
| fix(release): publish gotrue-js legacy mirror via pnpm | mandarini | — |
| fix(release): pin workspace:* sibling deps before JSR publi… | 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 17 hours, 33 minutes ago.
Updated daily from public GitHub pull requests.
See Your Team's Benchmarks