Automatically find the code review bottlenecks slowing your team down

GitQuick scans your GitHub org’s pull request history and surfaces the review problems hurting delivery — review latency, merge friction, backlog pressure, and pull request size risk — with plain-language explanations, severity, and what to do next.

GitHub pull request analytics for engineering teams. Read-only GitHub App.

Key signals

• Review Latency — PRs waiting too long for first review or approval, with p90 tails flagged separately from medians.
• Merge Pipeline Friction — Approved PRs stalling before merge.
• Backlog / Throughput Imbalance — More PRs opened than merged each week.
• Review Quality Risk — High merged-without-review rate or bot-dominated approvals.
• PR Size Risk — PRs too large for humans to review effectively.
• Dev Cycle Delay — Work incubating locally too long before opening a PR.

Features

• Deep Metrics Dashboard — Review latency, throughput, PR size, bot vs human reviews, reviewer load, and distributions.
• AI Executive Reports (coming soon) — LLM-written summaries in Executive and Engineering Manager modes, rolling out to early-access users.
• Repo Groups & Scoped Views — Custom repo groups; every metric recalculates for the selected scope.
• Language Breakdown — All metrics segmented by primary language.