Tooljet Engineering Benchmarks
Tooljet delivery benchmarks are based on 222 merged pull requests in the last 30 days (2,454 all-time), with 4.8 hours median cycle time, 1.7 hours median review time, and 28 active contributors. AI-related signals appear on 13.1% of recent work. PR volume is up 8% compared to the prior period.
Repo vs ToolJet Average
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.
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copilot-swe-agent
1 PRs (100.0%)
Cycle Time by AI-Related Signals
PR Breakdown
Top AI Tools
PR Type Breakdown
Recent Pull Requests
View PR Explorer| Title | Author | AI |
|---|---|---|
| Fix: Pages panel — add-page infinite loop crash and hidden … | vjaris42 | — |
| Feature: Env flag to restrict ToolJet Database edits to adm… | rudeUltra | — |
| [Code-editor/JSON-editor/JSON-viewer/HTML-viewer] Added tes… | devanshu052000 | — |
| [Text Component] Added testing contract, unit test cases | devanshu052000 | — |
| Chore: merge lts-3.16 (v3.20.249-lts) into the main back-me… | johnsoncherian | — |
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 10 hours, 12 minutes ago.
Updated daily from public GitHub pull requests.
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