Mattermost Engineering Benchmarks
Mattermost delivery benchmarks are based on 187 merged pull requests in the last 30 days (828 all-time), with 15.7 hours median cycle time, 0.1 hours median review time, and 32 active contributors. AI-related signals appear on 69.0% of recent work. PR volume is up 37% 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-69010: Validate incoming webhook user membership | marianunez | AI |
| MM-69057: Verify post ownership on inbound shared-channel e… | marianunez | — |
| Restrict group_constrained to channels that support group s… | marianunez | AI |
| MM-68665: Implement FileBackendWithLinkGenerator for Azure … | agarciamontoro | AI |
| [MM-69078] Surface plugin upload rejections as a toast (par… | isacikgoz | 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.
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