Polar Engineering Benchmarks
Polar delivery benchmarks are based on 702 merged pull requests in the last 30 days (5,263 all-time), with 1.3 hours median cycle time, 0.1 hours median review time, and 12 active contributors. AI-related signals appear on 93.0% of recent work. PR volume is up 30% 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
14 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 |
|---|---|---|
| sdk: version the Outpost Redis keys and channel | maximevast | AI |
| Fix Ramp Chrome extension autofill | sebastianekstrom | AI |
| fix(tax): accept South African VAT numbers | pieterbeulque | AI |
| outpost: expire a state a day after it was last touched | maximevast | AI |
| Ensure that planetscale migration doesnt get reverted | Yopi | 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, 43 minutes ago.
Updated daily from public GitHub pull requests.
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