Lobe Chat Engineering Benchmarks
Lobe Chat delivery benchmarks are based on 764 merged pull requests in the last 30 days (4,822 all-time), with 4.0 hours median cycle time, 0.1 hours median review time, and 17 active contributors. AI-related signals appear on 27.8% of recent work. PR volume is up 10% compared to the prior period.
Repo vs LobeChat 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
Top AI Tools
PR Type Breakdown
Recent Pull Requests
View PR Explorer| Title | Author | AI |
|---|---|---|
| 🐛 fix: harden bot messaging and channel setup | rdmclin2 | — |
| ✨ feat(openapi): add eval read routes for runs, datasets an… | rdmclin2 | AI |
| ✨ feat: read Feishu documents and preserve rich-text images | rdmclin2 | — |
| 💄 style(notification): restore inbox modal dividers in dark… | rdmclin2 | — |
| ✨ feat: support member mentions in workspace documents | rdmclin2 | — |
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 3 hours, 42 minutes ago.
Updated daily from public GitHub pull requests.
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