Trigger.Dev Engineering Benchmarks
Trigger.Dev delivery benchmarks are based on 123 merged pull requests in the last 30 days (630 all-time), with 3.5 hours median cycle time, 0.1 hours median review time, and 11 active contributors. AI-related signals appear on 12.2% of recent work. PR volume is up 86% 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.
Top AI Coding Agents
Most active AI coding agents in the last 90 days.
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devin-ai-integration
5 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: move reference projects to their own repo | nicktrn | — |
| chore(deps): update OpenTelemetry suite to 0.218.0 / 2.7.1 | nicktrn | — |
| feat(webapp): runs live updating | kathiekiwi | — |
| fix(webapp): restore Postgres fallback for non-ClickHouse O… | matt-aitken | — |
| feat(core,webapp): support isSecret on environment variable… | ericallam | — |
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 16 hours, 20 minutes ago.
Updated daily from public GitHub pull requests.
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