Framework Engineering Benchmarks
Framework delivery benchmarks are based on 138 merged pull requests in the last 30 days (1,190 all-time), with 6.9 hours median cycle time, 1.0 hours median review time, and 59 active contributors. AI-related signals appear on 3.6% of recent work. PR volume is up 4% 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 |
|---|---|---|
| [12.x] Fix Factory::insert() with a count of zero | alies-dev | — |
| [13.x] Fix schedule:list timezone conversion for range, ste… | xiCO2k | — |
| [12.x] Prevent fatal errors when logging deprecations fails | GrahamCampbell | — |
| [13.x] Fix default handling in `CookieJar::queued()` | alies-dev | — |
| Revert "[13.x] Fix that retries of `ShouldBeUniqueUntilProc… | taylorotwell | — |
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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