Anthropic Sdk Python Engineering Benchmarks
Anthropic Sdk Python delivery benchmarks are based on 1 merged pull requests in the last 30 days (21 all-time), with 0.0 hours median cycle time, 0.0 hours median review time, and 1 active contributors. AI-related signals appear on 0.0% of recent work. PR volume is down -50% 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.
Cycle Time by AI-Related Signals
PR Breakdown
Top AI Tools
PR Type Breakdown
Recent Pull Requests
View PR Explorer| Title | Author | AI |
|---|---|---|
| fix(aws): let AnthropicAWS.copy() accept credentials=None s… | csantanapr | — |
| fix(bedrock): preserve stream event type and drop invocatio… | qing-ant | — |
| fix(transform schema): preserve $defs when schema root is a… | benlehrburger-ant | — |
| chore(examples): bump tools_runner.py to claude-sonnet-4-5-… | GopalGB | AI |
| chore(examples): update shebang from poetry to uv | xodn348 | — |
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 27 minutes ago.
Updated daily from public GitHub pull requests.
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