Rocket.Chat Engineering Benchmarks
Rocket.Chat delivery benchmarks are based on 201 merged pull requests in the last 30 days (1,090 all-time), with 23.9 hours median cycle time, 0.5 hours median review time, and 21 active contributors. AI-related signals appear on 97.5% of recent work. PR volume is up 35% 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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copilot-swe-agent
2 PRs (50.0%)
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devin-ai-integration
2 PRs (50.0%)
Cycle Time by AI-Related Signals
PR Breakdown
Top AI Tools
PR Type Breakdown
Recent Pull Requests
View PR Explorer| Title | Author | AI |
|---|---|---|
| regression: combined picker emojis split into separate symb… | ricardogarim | AI |
| chore(apps): swap default runtime backend from deno to node | d-gubert | AI |
| test: navigate Omnichannel admin pages by URL | dougfabris | AI |
| regression: canned response emojis appear as shortcodes to … | nazabucciarelli | AI |
| regression: video embedded in custom homepage content repea… | 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 28 minutes ago.
Updated daily from public GitHub pull requests.
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