Lobe Chat Engineering Benchmarks
Lobe Chat delivery benchmarks are based on 1101 merged pull requests in the last 30 days (6,358 all-time), with 8.5 hours median cycle time, 0.1 hours median review time, and 21 active contributors. AI-related signals appear on 88.6% of recent work. PR volume is up 25% 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 |
|---|---|---|
| š fix: point GitHub links to the renamed lobehub repository | AmAzing129 | AI |
| āØ feat(topic): one-click archive on heterogeneous agent topā¦ | AmAzing129 | AI |
| āØ feat(home): virtualize and add search to the home Agent sā¦ | arvinxx | AI |
| š fix(chat): keep reloaded image tool cards expanded and stā¦ | tjx666 | AI |
| š fix(conversation): keep the streaming fade-in on a reply ā¦ | ONLY-yours | 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 7Ā hours, 37Ā minutes ago.
Updated daily from public GitHub pull requests.
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