Lobe Chat Engineering Benchmarks

LobeChat · GitHub · Updated July 28, 2026

Lobe Chat delivery benchmarks are based on 833 merged pull requests in the last 30 days (3,690 all-time), with 2.2 hours median cycle time, 0.0 hours median review time, and 24 active contributors. AI-related signals appear on 30.9% of recent work. PR volume is up 29% compared to the prior period.

Median Cycle Time
2.2h
PR open to merge
Median Review Time
0.0h
first review to approval
AI-Related Signals
30.9%
directional signal across recent PRs
Best Signal Fast Delivery
2.2h
Median cycle time of 2.2h

Repo vs LobeChat Average

+4.5pp
AI Signals
+0.4h
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 = -0.49 (14 weeks)

Cycle Time by AI-Related Signals

13.1h
with signals
15.2h
baseline
-14.1%
difference

PR Breakdown

462 with signals / 847 total PRs

Top AI Tools

claude 193
chatgpt 189
claude_code 60
sourcery-ai 16
sourcery 15

PR Type Breakdown

unknown 263
bugfix 250
feature 183
refactor 78
chore 32
docs 21

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 43 minutes ago.

Updated daily from public GitHub pull requests.

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