Comp Engineering Benchmarks
Comp delivery benchmarks are based on 9 merged pull requests in the last 30 days (685 all-time), with 0.3 hours median cycle time, 2.1 hours median review time, and 5 active contributors. AI-related signals appear on 44.4% of recent work. PR volume is up 80% 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.
Cycle Time by AI-Related Signals
PR Breakdown
Top AI Tools
PR Type Breakdown
Recent Pull Requests
View PR Explorer| Title | Author | AI |
|---|---|---|
| fix(docker): bump oven/bun to 1.4.4 for CVE-2026-111497 | leonardograndi | AI |
| fix(auth): security update for member removal | sadasant | — |
| fix(auth): security update for role management | sadasant | — |
| docs: describe Community Edition and Comp AI Cloud in the R… | Marfuen | — |
| fix(security): apply security updates | Marfuen | 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 3 hours, 38 minutes ago.
Updated daily from public GitHub pull requests.
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