Chatwoot Engineering Benchmarks
Chatwoot delivery benchmarks are based on 91 merged pull requests in the last 30 days (1,036 all-time), with 18.3 hours median cycle time, 0.3 hours median review time, and 15 active contributors. AI-related signals appear on 4.4% of recent work. PR volume is down -37% compared to the prior period.
Repo vs Chatwoot Average
Delivery Trend and AI Signals
PR Backlog (Humans)
Excludes AI agents and automation accounts.
PR Backlog (AI Agents)
AI coding agents only.
Cycle Time by AI-Related Signals
PR Breakdown
Top AI Tools
PR Type Breakdown
Recent Pull Requests
View PR Explorer| Title | Author | AI |
|---|---|---|
| fix: update Node.js to 24.22.1 security release | sojan-official | — |
| fix(deps): bump crass to 1.0.8 | sojan-official | — |
| fix: hide feature announcements for accounts in their first… | iamsivin | — |
| fix(voice): verify twilio webhook signatures | muhsin-k | — |
| docs: check OpenAI deprecations before choosing a model | aakashb95 | — |
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 3 hours, 42 minutes ago.
Updated daily from public GitHub pull requests.
See Your Team's Benchmarks