Platform Engineering Benchmarks
Platform delivery benchmarks are based on 21 merged pull requests in the last 30 days (614 all-time), with 19.8 hours median cycle time, 22.1 hours median review time, and 2 active contributors. AI-related signals appear on 0.0% of recent work. PR volume is up 200% compared to the prior period.
Repo vs Huly 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
Recent Pull Requests
View PR Explorer| Title | Author | AI |
|---|---|---|
| fix(calendar): import Google Meet links of synced Google ev… | MichaelUray | — |
| fix(contact): open phone numbers and nicknames of channels … | MichaelUray | — |
| fix(task): show each status's own color in the status filte… | MichaelUray | — |
| fix(account): change social_id primary key in a single ALTE… | MichaelUray | — |
| fix(setting): do not query domainless mixins when checking … | MichaelUray | — |
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 6 hours, 2 minutes ago.
Updated daily from public GitHub pull requests.
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