Surrealdb Engineering Benchmarks
Surrealdb delivery benchmarks are based on 2 merged pull requests in the last 30 days (457 all-time), with 2.0 hours median cycle time, 2.0 hours median review time, and 2 active contributors. AI-related signals appear on 0.0% of recent work.
Median Cycle Time
2.0h
PR open to merge
Median Review Time
2.0h
first review to approval
AI-Related Signals
0.0%
directional signal across recent PRs
Best Signal
Fast Delivery
2.0h
Median cycle time of 2.0h
Repo vs SurrealDB Average
-1.1pp
AI Signals
-11.3h
Cycle Time
+0.7h
Review Time
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
105.4h
baseline
PR Breakdown
0 with signals /
2 total PRs
Recent Pull Requests
View PR Explorer| Title | Author | AI |
|---|---|---|
| Add `format` command on cli | Brayan-724 | — |
| Commit Cargo.lock for the SDK build-test crates | rushmorem | — |
| Fix bucket permission checks in streaming file executor | PSmouz | — |
| Add doc comments for docs.rs | Dhghomon | — |
| Fix concurrent index conflicts and batch full-text indexing | emmanuel-keller | — |
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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