Anthropic Cookbook Engineering Benchmarks
Anthropic Cookbook delivery benchmarks are based on 15 merged pull requests in the last 30 days (81 all-time), with 8.2 hours median cycle time, 0.1 hours median review time, and 7 active contributors. AI-related signals appear on 26.7% of recent work. PR volume is up 114% compared to the prior period.
Repo vs Anthropic Average
Delivery Trend and AI Signals
PR Backlog (Humans)
Excludes AI agents and automation accounts.
PR Backlog (AI Agents)
AI coding agents only.
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 |
|---|---|---|
| hosting: lint fixes + address #677 review comments | kevintang513 | — |
| Agent SDK cookbook 07: Hosting your agent (Docker / Modal /… | kevintang513 | — |
| ci: migrate claude-code-action workflows to Workload Identi… | zenexer-ant | AI |
| hosting: Tier 3 — Kubernetes (pod-per-session + egress lock… | anav-ant | — |
| Pin GitHub Actions to commit SHAs | jportner-ant | — |
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, 29 minutes ago.
Updated daily from public GitHub pull requests.
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