Affine Engineering Benchmarks
Affine delivery benchmarks are based on 44 merged pull requests in the last 30 days (489 all-time), with 2.3 hours median cycle time, 0.1 hours median review time, and 8 active contributors. AI-related signals appear on 88.6% of recent work. PR volume is up 26% compared to the prior period.
Repo vs AFFiNE 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(mobile): mobile keyboard padding | darkskygit | AI |
| feat(editor): improve select perf | darkskygit | AI |
| feat(server): improve doc gc | darkskygit | AI |
| fix(mobile): popover styles | darkskygit | AI |
| chore: update config template | darkskygit | 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 29 minutes ago.
Updated daily from public GitHub pull requests.
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