Comp Engineering Benchmarks
Comp delivery benchmarks are based on 111 merged pull requests in the last 30 days (655 all-time), with 0.4 hours median cycle time, 0.1 hours median review time, and 3 active contributors. AI-related signals appear on 96.4% of recent work. PR volume is down -31% 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(audit): stop plaintext secrets leaking into the audit l… | Marfuen | AI |
| fix(audit): stop logging read endpoints as mutations + name… | Marfuen | AI |
| fix: browser automation production-review findings (not_rel… | tofikwest | AI |
| fix(api): don't let scheduled browser runs overwrite not_re… | tofikwest | AI |
| fix(app): use the GA gemini-3.1-flash-lite slug | 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 28 minutes ago.
Updated daily from public GitHub pull requests.
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