Your repositories hold years of engineering decisions, PR patterns, and deployment history that nobody analyses. Command reads every repository to surface the engineering health signals your dashboards miss.
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Command found these insights across engineering teams' GitHub repositories within one hour
1,243 PRs analysed. Average review wait: 2.7 days. 31 PRs open for over a week with no reviewer assigned.
47 repositories with no README updates in 6 months. 89 open issues labelled 'bug' older than 90 days. 12 repos with zero test coverage data.
23% of deployments happen on Fridays. 4 repos averaging 3+ hotfixes per release. Patterns invisible until you look at the data.
Every week you scroll through sent emails trying to spot who never replied. Most weeks you skip it entirely. Leads go cold. Follow-ups never happen. Revenue walks out the door for months and years.
You have 301 contacts buried in your inbox. You have no idea who might be ready to buy. Your CRM is a graveyard of old records. Your true pipeline lives only in your email history, and nobody can see it.
Every week those 71 prospects sit untouched is another week of revenue walking to a competitor who replies faster.
Command doesn't just list pull requests. It infers. It scans your repositories and extracts engineering health signals from PR patterns, commit history, deployment frequency, and code quality indicators.
Engineering intelligence emerges from your data. Your digital twin knows which PRs are bottlenecking, where tech debt is hiding, which contributors are single points of failure, and which deployment patterns increase risk.
Within 48 hours, Command builds you engineering intelligence: review velocity by team, tech debt scored across repositories, deployment health signals, and contributor risk analysis.
Watches every repository. Extracts PR patterns, identifies review bottlenecks, surfaces tech debt, finds engineering risks.
Sends review reminders, cleans stale branches, generates release notes, creates sprint summaries.
Tracks PR review times, identifies bottlenecks, and suggests process improvements to keep teams shipping fast.
Scores accumulated tech debt across repositories, tracks coverage gaps, and surfaces stale issues needing attention.
Monitors deployment frequency, identifies risky patterns, and alerts when deployments increase incident risk.
Maps knowledge distribution, identifies bus factor risks, and highlights single points of failure in your codebase.
Yes. Command uses secure OAuth authentication with fine-grained repository permissions. You can control which repositories Command reads during setup. No code is copied to external servers - analysis happens in your workspace.
Command scans PR history, review times, approval patterns, and commit messages. It detects bottlenecks, identifies who reviews what, tracks deployment frequency, and surfaces patterns invisible in your dashboards.
One click. You authorise Command via OAuth, and it begins scanning your repositories immediately. You'll see your first engineering insights within 48 hours.
Command currently focuses on GitHub. We are exploring support for other platforms. If you need GitLab or Bitbucket integration, contact our team.
Yes. Command scores tech debt across your repositories by analysing stale branches, inactive issues, missing documentation, test coverage gaps, and dependency age. It surfaces the hidden debt accumulating invisibly.
Yes. Command uses standard OAuth. You can revoke access anytime in your GitHub account settings. Command stops working immediately.
Yes. Command respects your branch protection rules and deployment restrictions. It analyses what actually got merged and deployed, not what you intended to merge.
Your repositories hold engineering intelligence nobody analyses. Command surfaces the review patterns, tech debt, and deployment risks hiding in your codebase.
One-click OAuth. Engineering insights within 48 hours. No configuration needed.
