Trigger.Dev Engineering Benchmarks
Trigger.Dev delivery benchmarks are based on 208 merged pull requests in the last 30 days (1,282 all-time), with 5.0 hours median cycle time, 0.1 hours median review time, and 14 active contributors. AI-related signals appear on 6.3% of recent work. PR volume is up 26% compared to the prior period.
Repo vs Trigger.dev Average
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
Cycle Time by AI-Related Signals
PR Breakdown
Top AI Tools
PR Type Breakdown
Recent Pull Requests
View PR Explorer| Title | Author | AI |
|---|---|---|
| docs(sdk): describe chat.turn() in the advanced chat agent … | ericallam | AI |
| fix(core,sdk): stop chat.agent losing messages during recov… | ericallam | — |
| fix(sdk): chat.agent transcript follow-ups | ericallam | — |
| ci: skip webapp and internal tests for changes to packages … | myftija | — |
| fix(cli): report build log stream failures clearly and exit… | myftija | — |
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 2 hours, 2 minutes ago.
Updated daily from public GitHub pull requests.
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