Your engineering manager sidekick

See how your engineering team is actually performing — in 2 minutes.

Connect GitHub. Get instant insights on PR review rounds, rework rate, code review quality, and AI adoption — no spreadsheets, no manual tracking.

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Rework Rate

4.2%

Avg PR Rounds

1.8

Comment Quality

82/100

AI Adoption

68%

Live Dashboard

Engineering metrics dashboard — every KPI in one place.

PR Review Rounds

-12%

Team avg: 1.8 rounds

Rework Volume

-31%

Team avg: 2.1/day

Test Coverage

+15%

Team avg: 87%

See It In Action

Real-time developer analytics from your GitHub repos.

KPI cards, trend charts, developer profiles, and AI-powered scoring — all updated daily from your GitHub data. No manual tracking required.

AI Executive Briefing

AI executive briefing — skip the spreadsheets.

MergeScout's AI reads your team's PR activity and writes a concise executive briefing — the kind of summary that would take a manager 2 hours to prepare manually. Key metrics are highlighted so you can scan in seconds.

Auto-generated daily from live data
AI Executive Briefing

PR review rounds dropped 12% to 1.8 avg rounds, indicating cleaner first submissions. Rework rate fell to 4.2%, down from 6.1% — fewer PRs needed follow-up bug fixes this period.

Comment quality scores improved to 82/100, with substantive review comments up across the team. Test coverage held steady at 87%. AI adoption reached 68%, with Copilot as the dominant signal source.

Generated 2 minutes ago

Built for Engineering Managers

Engineering intelligence, built for managers.

Stop context-switching between GitHub tabs, spreadsheets, and Slack threads. MergeScout does the data gathering so you can focus on your team.

Comment Quality Scoring

AI-powered code review quality scoring. Measure whether your team gives substantive PR feedback or rubber-stamp approvals. Track comment quality metrics over time.

AI Executive Briefing

Automated engineering team reports in seconds. AI reads your PR activity and writes the executive summary you'd spend 2 hours preparing manually.

Developer Profiles

Per-developer scorecards with quality, complexity, review depth, and test coverage metrics.

Smart Alerts

Automatic anomaly detection when metrics regress beyond baselines. Catch problems before they become patterns.

AI Adoption Insights

AI adoption tracking for your engineering team. See which developers use Copilot and Claude Code, and measure how AI-assisted PRs compare on cycle time and quality.

Rework & Bug Detection

Track developer rework rate — the percentage of PRs that need follow-up fixes. A leading indicator for bugs escaping code review.

Your team's data is already in GitHub.

Connect your org in 2 minutes. MergeScout backfills your history and starts delivering insights immediately.

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Frequently Asked Questions

What is MergeScout?

MergeScout is an AI-powered engineering metrics dashboard for engineering managers. It connects to your GitHub repos, computes metrics like PR cycle time, review quality, rework rate, and AI adoption, and delivers AI-generated executive briefings. Setup takes 2 minutes.

What engineering metrics does MergeScout track?

PR cycle time, PR review rounds, code review comment quality (AI-scored), rework rate (bug proxy), test coverage, AI adoption rate (Copilot, Claude, Cursor), review turnaround time, review participation rate, and PR size distribution.

How is MergeScout different from LinearB or Jellyfish?

MergeScout focuses on simplicity and AI-powered insights for smaller teams (5–50 engineers). It’s GitHub-native (no Jira required), sets up in 2 minutes, and is the only tool that delivers AI-generated executive briefings, scores code review comment quality, and tracks PR review rounds as first-class metrics.

How much does MergeScout cost?

MergeScout is free while in beta. Connect your GitHub organization in 2 minutes and get full access to all metrics, AI briefings, and developer profiles.

Does MergeScout track AI adoption on my team?

Yes. MergeScout detects AI-assisted PRs by analyzing commit messages, branch names, and PR content for signals from Copilot, Claude, Cursor, and other AI tools. It tracks adoption rate per developer and over time.