Vercel Engineering Benchmarks
Vercel delivery benchmarks are based on 144 merged pull requests in the last 30 days (931 all-time), with 16.9 hours median cycle time, 1.7 hours median review time, and 44 active contributors. AI-related signals appear on 20.1% of recent work. PR volume is up 5% compared to the prior period.
Repo vs Vercel 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 |
|---|---|---|
| [services] drop "services" key from schema | nsidnev | — |
| [services] add experimentalServicesV2 to schema | nsidnev | — |
| [connect] Forward token scopes/installation into authorize … | bhrigu123 | AI |
| [connect] Rename user-facing "client" references to "connec… | bhrigu123 | AI |
| Revert "[flags] fix dep detection for build embedding" | brookemosby | — |
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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