Polar Engineering Benchmarks
Polar delivery benchmarks are based on 424 merged pull requests in the last 30 days (3,631 all-time), with 1.0 hours median cycle time, 0.1 hours median review time, and 11 active contributors. AI-related signals appear on 93.9% of recent work. PR volume is down -9% compared to the prior period.
polar merged 272 PRs in the past 30 days with 20.96% showing AI-related signals. Median cycle time is 0.22 hours.
Repo vs Polar.sh 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
30 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 |
|---|---|---|
| Bump lock timeout | pieterbeulque | AI |
| docs: document discount and subscription.cycled webhooks | maximevast | AI |
| feat(webhooks): add discount lifecycle and subscription.cyc… | maximevast | AI |
| Allow backoffice to request a new organization review on st… | pieterbeulque | AI |
| fix: reset posthog identity on logout | strandhvilliam | 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 44 minutes ago.
Updated daily from public GitHub pull requests.
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