Mattermost Engineering Benchmarks
Mattermost delivery benchmarks are based on 253 merged pull requests in the last 30 days (1,967 all-time), with 18.3 hours median cycle time, 0.5 hours median review time, and 34 active contributors. AI-related signals appear on 73.5% of recent work. PR volume is down -25% compared to the prior period.
Repo vs Mattermost Average
Delivery Trend and AI Signals
PR Backlog (Humans)
Excludes AI agents and automation accounts.
PR Backlog (AI Agents)
AI coding agents only.
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 |
|---|---|---|
| [MM-71291] Add a node selector to the System Console server… | hanzei | AI |
| MM-71344 Plugin API: expose cluster node identity | hanzei | AI |
| [MM-70757] Docs: Site health dashboard | hanzei | AI |
| MM-68613: resize message columns only on fresh installations | lieut-data | AI |
| Add registerChannelViewComponent so plugins can replace the… | jwilander | 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 10 hours, 13 minutes ago.
Updated daily from public GitHub pull requests.
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