How is Serverless delivering recently?

Serverless has 0.00 hours median cycle time, 0.00 hours median review time, and 0 merged pull requests in the last 30 days.

What AI-related signal share does Serverless show?

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

How many active contributors does Serverless have?

Serverless has 0 active contributors in the last 30 days.

Serverless Engineering Benchmarks

Neon · GitHub · Updated July 28, 2026

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Serverless delivery benchmarks are based on 0 merged pull requests in the last 30 days (22 all-time), with 0.0 hours median cycle time, 0.0 hours median review time, and 0 active contributors. AI-related signals appear on 0.0% of recent work.

Median Cycle Time

0.0h

PR open to merge

Median Review Time

0.0h

first review to approval

AI-Related Signals

0.0%

directional signal across recent PRs

Repo vs Neon Average

0.0pp

AI Signals

-18.6h

Cycle Time

-2.4h

Review Time

PR Backlog (Humans)

Excludes AI agents and automation accounts.

PR Backlog (AI Agents)

AI coding agents only.

Recent Pull Requests

View PR Explorer

Title	Author	AI
Update release scripts and instructions and add type shims …	jawj	—
Inline all TypeScript types for a significant install size …	jawj	—
Add `prisma generate` before packages tests	jawj	—
Switch CI workflows to protected runner group	bayandin	—
Harden CI: disable third-party scripts, add release cooldow…	bayandin	—

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 39 minutes ago.

Updated daily from public GitHub pull requests.

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