Rocket.Chat Engineering Benchmarks
Rocket.Chat delivery benchmarks are based on 107 merged pull requests in the last 30 days (1,270 all-time), with 29.8 hours median cycle time, 0.3 hours median review time, and 20 active contributors. AI-related signals appear on 98.1% of recent work. PR volume is down -34% compared to the prior period.
Repo vs Rocket.Chat 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
2 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 |
|---|---|---|
| test: move integer settings validation coverage to componen… | jessicaschelly | AI |
| test: increase coverage for the server-side webhook API | ricardogarim | AI |
| chore: Upgrade fuselage packages | dougfabris | AI |
| feat: add `aroundId` param to `rooms.history` endpoint | sampaiodiego | AI |
| chore: fix deno cache key and subprocess lockfile scope | d-gubert | AI |
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 2 hours, 2 minutes ago.
Updated daily from public GitHub pull requests.
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