Tooljet Engineering Benchmarks
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.
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.
-
copilot-swe-agent
1 PRs (100.0%)
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 |
|---|---|---|
| 🚀 chore: update submodules | adishM98 | — |
| chore: release 3.20.198-lts | johnsoncherian | — |
| CI: Two-label pipeline with blocking lint and CI Gate merge… | akshaysasidrn | AI |
| Created the new datasource category | Siddharthpl | — |
| Hotfix : Bulk update input expression will not be resolved … | ganesh8056 | — |
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 27Â minutes ago.
Updated daily from public GitHub pull requests.
See Your Team's Benchmarks