Tooljet Engineering Benchmarks

ToolJet · GitHub · Updated July 28, 2026

Tooljet delivery benchmarks are based on 145 merged pull requests in the last 30 days (1,823 all-time), with 19.3 hours median cycle time, 1.8 hours median review time, and 31 active contributors. AI-related signals appear on 1.4% of recent work. PR volume is down -29% compared to the prior period.

Median Cycle Time
19.3h
PR open to merge
Median Review Time
1.8h
first review to approval
AI-Related Signals
1.4%
directional signal across recent PRs
Best Signal Fast Delivery
19.3h
Median cycle time of 19.3h
Watch Out Declining Cadence
-29%
PR volume down 29% vs prior period

Repo vs ToolJet Average

+0.7pp
AI Signals
+12.5h
Cycle Time
+0.2h
Review Time

Delivery Trend and AI Signals

PR Backlog (Humans)

Excludes AI agents and automation accounts.

PR Backlog (AI Agents)

AI coding agents only.

Top AI Coding Agents

Most active AI coding agents in the last 90 days.

AI Signals vs Cycle Time

Correlation

moderate positive
r = 0.52 (14 weeks)

Cycle Time by AI-Related Signals

123.0h
with signals
71.8h
baseline
71.3%
difference

PR Breakdown

22 with signals / 170 total PRs

Top AI Tools

copilot 11
claude 5
claude_code 1

PR Type Breakdown

unknown 85
bugfix 24
feature 14
chore 14
docs 4
refactor 2

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 27 minutes ago.

Updated daily from public GitHub pull requests.

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