Comp Engineering Benchmarks
Comp delivery benchmarks are based on 107 merged pull requests in the last 30 days (404 all-time), with 0.1 hours median cycle time, 0.0 hours median review time, and 4 active contributors. AI-related signals appear on 93.5% of recent work. PR volume is up 37% compared to the prior period.
Repo vs Comp AI 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(app): keep integration check dropdowns open | tofikwest | AI |
| fix(integrations): anchor config dropdown to its field (fol… | tofikwest | AI |
| fix(integration-platform): assume AWS customer role via rol… | tofikwest | AI |
| fix(integrations): render config dropdowns inline so they w… | tofikwest | AI |
| fix(app): service card counts only added evidence tasks (ma… | tofikwest | 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 16 hours, 25 minutes ago.
Updated daily from public GitHub pull requests.
See Your Team's Benchmarks