Coolify Engineering Benchmarks
Coolify delivery benchmarks are based on 134 merged pull requests in the last 30 days (833 all-time), with 1.1 hours median cycle time, 0.7 hours median review time, and 32 active contributors. AI-related signals appear on 20.2% of recent work. PR volume is up 253% compared to the prior period.
Repo vs Coolify 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 |
|---|---|---|
| feat: add custom container name prefix option | peaklabs-dev | — |
| feat(docker): use ISO 8601 timestamp suffix for generated c… | peaklabs-dev | — |
| fix(docker): custom container names | peaklabs-dev | — |
| fix(analytics): hide traffic UI when disabled and skip defa… | andrasbacsai | — |
| feat(api): add database import and Cloudflare DNS management | andrasbacsai | — |
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 2 hours, 2 minutes ago.
Updated daily from public GitHub pull requests.
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