Parse Server Engineering Benchmarks
Parse Server delivery benchmarks are based on 23 merged pull requests in the last 30 days (449 all-time), with 2.3 hours median cycle time, 0.1 hours median review time, and 3 active contributors. AI-related signals appear on 60.9% of recent work. PR volume is up 10% compared to the prior period.
Repo vs Parse Server 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 |
|---|---|---|
| ci: Skip CI checks for draft pull requests | mtrezza | — |
| refactor: Bump @actions/core from 3.0.0 to 3.0.1 | mtrezza | AI |
| refactor: Bump mongodb-runner from 5.9.3 to 6.8.3 | mtrezza | AI |
| refactor: Bump @babel/preset-env from 7.29.2 to 7.29.7 | mtrezza | AI |
| refactor: Bump @babel/core from 7.29.6 to 7.29.7 | mtrezza | 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 21 minutes ago.
Updated daily from public GitHub pull requests.
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