PostHog Python Engineering Benchmarks
PostHog Python delivery benchmarks are based on 80 merged pull requests in the last 30 days (382 all-time), with 22.9 hours median cycle time, 8.0 hours median review time, and 19 active contributors. AI-related signals appear on 60.0% of recent work. PR volume is up 67% compared to the prior period.
Posthog Python merged 9 PRs in the past 30 days with 0% showing AI-related signals. Median cycle time is 13.07 hours.
Repo vs PostHog Analytics 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 |
|---|---|---|
| fix: fill feature flag properties below context tags and su… | eli-r-ph | AI |
| chore: sync main into v1 (7.69.0–7.75.6) | eli-r-ph | AI |
| docs: mark the migration guide to link the public capture v… | eli-r-ph | AI |
| fix: report capture's dropped duplicate copies as drops | eli-r-ph | AI |
| fix(aio): keep content out of ai events in privacy mode | carlos-marchal-ph | AI |
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, 44 minutes ago.
Updated daily from public GitHub pull requests.
See Your Team's Benchmarks