Ai Engineering Benchmarks
Ai delivery benchmarks are based on 271 merged pull requests in the last 30 days (1,221 all-time), with 0.9 hours median cycle time, 0.7 hours median review time, and 34 active contributors. AI-related signals appear on 6.3% of recent work. PR volume is up 42% compared to the prior period.
Repo vs Vercel 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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copilot-swe-agent
1 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 |
|---|---|---|
| fix(google-vertex): support regional endpoints for vertex M… | aayush-kapoor | — |
| fix(google-vertex): support for eu/us multi region gemini e… | aayush-kapoor | — |
| feat(provider/google): add Gemini text-to-speech (speech) m… | 31Carlton7 | AI |
| fix(vertex-anthropic): support eu/us multi-region anthropic… | aayush-kapoor | — |
| Backport: feat(azure): support Microsoft Entra ID auth (#15… | 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 16 hours, 27 minutes ago.
Updated daily from public GitHub pull requests.
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