Framework Engineering Benchmarks
Framework delivery benchmarks are based on 226 merged pull requests in the last 30 days (1,838 all-time), with 9.7 hours median cycle time, 1.2 hours median review time, and 71 active contributors. AI-related signals appear on 3.5% of recent work. PR volume is up 22% 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.
Top AI Coding Agents
Most active AI coding agents in the last 90 days.
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copilot-swe-agent
1 PRs (100.0%)
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] Fix once() returning a cached value for a different … | xurshudyan | — |
| [13.x] Fix N+1 queries on JSON:API resource collection incl… | xurshudyan | — |
| [13.x] Don't fail database queue jobs on concurrency errors… | xurshudyan | — |
| [9.x] Cloud exceptions | timacdonald | — |
| [13.x] Cloud exceptions follow-ups | timacdonald | — |
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 4 hours, 33 minutes ago.
Updated daily from public GitHub pull requests.
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