Lobe Chat Engineering Benchmarks

LobeChat · GitHub · Updated June 3, 2026

Lobe Chat delivery benchmarks are based on 594 merged pull requests in the last 30 days (2,256 all-time), with 1.6 hours median cycle time, 0.0 hours median review time, and 25 active contributors. AI-related signals appear on 31.8% of recent work. PR volume is up 59% compared to the prior period.

Median Cycle Time
1.6h
PR open to merge
Median Review Time
0.0h
first review to approval
AI-Related Signals
31.8%
directional signal across recent PRs
Best Signal Fast Delivery
1.6h
Median cycle time of 1.6h

Repo vs LobeChat Average

+10.1pp
AI Signals
0.0h
Cycle Time
0.0h
Review Time

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

moderate negative
r = -0.44 (14 weeks)

Cycle Time by AI-Related Signals

12.3h
with signals
13.0h
baseline
-5.0%
difference

PR Breakdown

390 with signals / 604 total PRs

Top AI Tools

claude 205
chatgpt 158
sourcery-ai 18
sourcery 17
chatgpt-codex-connector 14

PR Type Breakdown

bugfix 282
feature 173
refactor 56
chore 48
docs 16
unknown 13

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 16 hours, 29 minutes ago.

Updated daily from public GitHub pull requests.

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