Affine Engineering Benchmarks
Affine delivery benchmarks are based on 29 merged pull requests in the last 30 days (533 all-time), with 2.5 hours median cycle time, 0.2 hours median review time, and 10 active contributors. AI-related signals appear on 100.0% of recent work. PR volume is down -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(native): mac client icon refresh | darkskygit | AI |
| feat(core): adapt new lifecycle | darkskygit | AI |
| fix(editor): preserve expanded headings in readonly mode | eXtgmA | AI |
| feat(server): migrate legacy impl | darkskygit | AI |
| fix(editor): compare right child against the correct node i… | jaehafe | 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, 3 minutes ago.
Updated daily from public GitHub pull requests.
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