Ghost Engineering Benchmarks
Ghost delivery benchmarks are based on 442 merged pull requests in the last 30 days (2,073 all-time), with 2.3 hours median cycle time, 0.1 hours median review time, and 34 active contributors. AI-related signals appear on 6.3% of recent work. PR volume is up 98% compared to the prior period.
Repo vs Ghost 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 |
|---|---|---|
| Update secretlint monorepo to v13 | tryghost-renovate | — |
| Removed the unused date-fns dependency from shade | 9larsons | — |
| Updated indexnow/llms/theme-upload logs to event.name conve… | ErisDS | — |
| Updated ghost/core seed-data generator to faker v9 | 9larsons | — |
| Converged faker onto v9 for e2e and stats | 9larsons | — |
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 16 hours, 26 minutes ago.
Updated daily from public GitHub pull requests.
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