How is Trigger.Dev delivering recently?

Trigger.Dev has 1.48 hours median cycle time, 0.05 hours median review time, and 6 merged pull requests in the last 30 days.

What AI-related signal share does Trigger.Dev show?

AI-related signals appear on 0.00% of Trigger.Dev pull requests in the current summary window.

How many active contributors does Trigger.Dev have?

Trigger.Dev has 4 active contributors in the last 30 days.

Trigger.Dev Engineering Benchmarks

Trigger.dev · GitHub · Updated October 26, 2026

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Trigger.Dev delivery benchmarks are based on 6 merged pull requests in the last 30 days (1,296 all-time), with 1.5 hours median cycle time, 0.1 hours median review time, and 4 active contributors. AI-related signals appear on 0.0% of recent work. PR volume is down -89% compared to the prior period.

Median Cycle Time

1.5h

PR open to merge

Median Review Time

0.1h

first review to approval

AI-Related Signals

0.0%

directional signal across recent PRs

Best Signal Fast Delivery

1.5h

Median cycle time of 1.5h

Watch Out Declining Cadence

-89%

PR volume down 89% vs prior period

Repo vs Trigger.dev Average

-12.0pp

AI Signals

-2.0h

Cycle Time

0.0h

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.

claude
16 PRs (100.0%)

Cycle Time by AI-Related Signals

35.5h

with signals

26.1h

baseline

36.0%

difference

PR Breakdown

2 with signals / 7 total PRs

Top AI Tools

devin 2

claude_code 1

claude 1

PR Type Breakdown

unknown 5

bugfix 1

Recent Pull Requests

View PR Explorer

Title	Author	AI
docs: update runtime Node.js versions to the October 2026 r…	mintlify	—
docs: document the TRIGGER_DASHBOARD_URL run environment va…	mintlify	—
docs: add webhooks and waitpoints API key presets	mintlify	—
ci(publish): push a commit-sha tag on supervisor builds fro…	nicktrn	—
feat(webapp,cli): let self-hosted instances require deploy …	brentshulman-silkline	—

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 20 hours, 40 minutes ago.

Updated daily from public GitHub pull requests.

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