Ghost Engineering Benchmarks
Ghost delivery benchmarks are based on 546 merged pull requests in the last 30 days (3,158 all-time), with 1.9 hours median cycle time, 0.2 hours median review time, and 40 active contributors. AI-related signals appear on 6.0% of recent work. PR volume is down -7% 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.
Top AI Coding Agents
Most active AI coding agents in the last 90 days.
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copilot-swe-agent
1 PRs (100.0%)
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 |
|---|---|---|
| Removed legacy route-settings validation fallback and obsol… | vershwal | — |
| Added `to_hash` column to redirects table with composite un… | cmraible | — |
| Improved settings design system migration cleanup | 9larsons | — |
| Imported member custom field values from CSV | rob-ghost | — |
| Added typed CardConfig contract to KoenigComposerContext | kevinansfield | — |
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 27 minutes ago.
Updated daily from public GitHub pull requests.
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