Resend Node Engineering Benchmarks
Resend Node delivery benchmarks are based on 29 merged pull requests in the last 30 days (180 all-time), with 0.6 hours median cycle time, 0.0 hours median review time, and 11 active contributors. AI-related signals appear on 86.2% of recent work. PR volume is up 222% compared to the prior period.
Repo vs Resend 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
Top AI Tools
PR Type Breakdown
Recent Pull Requests
View PR Explorer| Title | Author | AI |
|---|---|---|
| fix(inboxes): match the search and update draft types to th… | felipefreitag | — |
| feat(inboxes): add label endpoints, rename fields & accept … | isabellaaquino | AI |
| feat(inboxes): rename the inbox agent archive and trash act… | LauraBeatris | AI |
| feat(inboxes): add label specific endpoints for threads | isabellaaquino | AI |
| feat(inboxes): accept the inbox email address in every inbo… | bukinoshita | AI |
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 5 hours, 30 minutes ago.
Updated daily from public GitHub pull requests.
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