Anthropic Sdk Python Engineering Benchmarks
Anthropic Sdk Python delivery benchmarks are based on 2 merged pull requests in the last 30 days (25 all-time), with 5.9 hours median cycle time, 5.8 hours median review time, and 2 active contributors. AI-related signals appear on 0.0% of recent work.
Median Cycle Time
5.9h
PR open to merge
Median Review Time
5.8h
first review to approval
AI-Related Signals
0.0%
directional signal across recent PRs
Best Signal
Fast Delivery
5.8h
Median cycle time of 5.8h
Repo vs Anthropic Average
-17.7pp
AI Signals
+4.4h
Cycle Time
+5.8h
Review Time
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
5.9h
baseline
PR Breakdown
0 with signals /
2 total PRs
Top AI Tools
claude
4
PR Type Breakdown
docs
1
unknown
1
Recent Pull Requests
View PR Explorer| Title | Author | AI |
|---|---|---|
| docs(changelog): detail the beta files/skills GA-shape chan… | tomer-ant | — |
| fix(docs): correct link for long requests error | simonw | — |
| docs: fix fulfillment typos in session runner | vjaudir8123-debug | — |
| fix(mcp): pin mcp extra to <2 | maxisbey | — |
| fix(aws): let AnthropicAWS.copy() accept credentials=None s… | csantanapr | — |
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 2 hours, 32 minutes ago.
Updated daily from public GitHub pull requests.
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