Framework Engineering Benchmarks
Framework delivery benchmarks are based on 168 merged pull requests in the last 30 days (939 all-time), with 8.1 hours median cycle time, 0.6 hours median review time, and 61 active contributors. AI-related signals appear on 3.6% of recent work. PR volume is up 35% compared to the prior period.
Repo vs Laravel 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 |
|---|---|---|
| [13.x] Cache falsy JSON payloads in HTTP client responses | Button99 | — |
| [13.x] Register the lazy refresh hook on all connections | tontonsb | — |
| [12.x] Ensure path seperators aren't encoded in LocalFilesy… | jackbayliss | — |
| [13.x] `schedule:pause` command should error when its disab… | jackbayliss | — |
| [13.x] Fix ValidationImageFileRuleTest | jackbayliss | — |
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 16 hours, 27 minutes ago.
Updated daily from public GitHub pull requests.
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