Rocket.Chat Engineering Benchmarks
Rocket.Chat delivery benchmarks are based on 132 merged pull requests in the last 30 days (747 all-time), with 18.7 hours median cycle time, 0.6 hours median review time, and 17 active contributors. AI-related signals appear on 97.0% of recent work. PR volume is up 83% 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.
-
copilot-swe-agent
8 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 |
|---|---|---|
| refactor: rendering of call history contact information | pierre-lehnen-rc | AI |
| test: add rooms.saveDraft API tests | jessicaschelly | AI |
| regression: Message list not staying at the bottom | gabriellsh | AI |
| chore: enhance fuselage script with link-all and unlink-all… | tassoevan | AI |
| fix: allow unauthenticated access to users.sendConfirmation… | ricardogarim | 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 16 hours, 27 minutes ago.
Updated daily from public GitHub pull requests.
See Your Team's Benchmarks