How is Ai delivering recently?

Ai has 0.86 hours median cycle time, 0.67 hours median review time, and 409 merged pull requests in the last 30 days.

What AI-related signal share does Ai show?

AI-related signals appear on 14.67% of Ai pull requests in the current summary window.

How many active contributors does Ai have?

Ai has 29 active contributors in the last 30 days.

Ai Engineering Benchmarks

Vercel · GitHub · Updated July 28, 2026

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Ai delivery benchmarks are based on 409 merged pull requests in the last 30 days (1,878 all-time), with 0.9 hours median cycle time, 0.7 hours median review time, and 29 active contributors. AI-related signals appear on 14.7% of recent work. PR volume is up 56% compared to the prior period.

Median Cycle Time

0.9h

PR open to merge

Median Review Time

0.7h

first review to approval

AI-Related Signals

14.7%

directional signal across recent PRs

Best Signal Fast Delivery

52m

Median cycle time of 52m

Repo vs Vercel Average

+6.7pp

AI Signals

-6.6h

Cycle Time

-0.2h

Review Time

Delivery Trend and AI Signals

PR Backlog (Humans)

Excludes AI agents and automation accounts.

PR Backlog (AI Agents)

AI coding agents only.

Cycle Time by AI-Related Signals

32.8h

with signals

18.1h

baseline

81.3%

difference

PR Breakdown

91 with signals / 419 total PRs

Top AI Tools

claude 55

claude_code 24

chatgpt 13

cursor 3

PR Type Breakdown

unknown 165

bugfix 130

feature 56

docs 31

chore 19

refactor 3

Recent Pull Requests

View PR Explorer

Title	Author	AI
feat(provider/klingai): support single API key authenticati…	shaper	AI
feat(ai): deprecate Experimental_GeneratedImage alias	gr2m	—
feat(openai,google): realtime translation providers	kkdawkins	—
feat(workflow): add prepareCall setting parity	gr2m	—
refactor(workflow): simplify prepareStep overrides	gr2m	—

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 28 minutes ago.

Updated daily from public GitHub pull requests.

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