Your repositories hold two years of engineering patterns nobody has ever analysed. Command reads every merge request, every pipeline run, and every review cycle to surface where delivery is stalling and where your team is at its sharpest.
Trusted by
Command found these insights in a single GitLab workspace within one hour
2,400 merge requests analysed, 340 taking longer than team average - 67% caused by the same 3 reviewers being overloaded.
89% pass rate overall, but 3 repositories dipping below 70% in the last fortnight. 14 flaky tests identified automatically.
12 engineers tracked, 4 consistently blocked waiting for reviews. Average time-to-merge dropped 40% once Command flagged the bottleneck.
Every Monday your engineering lead opens GitLab and scrolls through merge requests trying to figure out what shipped last week. Most weeks the standup relies on memory. Stale branches pile up. Reviews get stuck behind the same two senior engineers.
You have 2,400 merge requests across 15 repositories. You have no idea which ones are blocked, which pipelines are degrading, or which engineers are consistently waiting three days for a review. Your delivery velocity lives only in scattered GitLab data, and nobody can see the full picture.
Every week these patterns go unseen is another week of delivery risk hiding in plain sight.
Command does not just read merge requests. It infers. It analyses your entire GitLab history and extracts delivery patterns, reviewer bottlenecks, pipeline health trends, and sprint velocity metrics that would take a team lead weeks to compile.
Shadow Notes surface what dashboards miss. Pipeline intelligence emerges from CI/CD patterns. Your digital workforce knows which merge requests need attention, which engineers are blocked, and which repositories are shipping fastest.
Within 48 hours, Command builds a complete engineering health picture: 2,400 merge requests analysed, 340 flagged as slow, 14 flaky tests identified, 4 reviewer bottlenecks surfaced.
Watches your GitLab data, surfaces what you are missing. Extracts patterns, identifies bottlenecks, and finds the intelligence your team needs.
Acts on the insights. Drafts reports, flags risks, prepares alerts, and keeps your team moving.
Command analyses what shipped versus what was planned and builds velocity trends your team can actually act on.
Identifies which engineers are reviewing too much and which are waiting too long, then suggests rebalancing.
Tracks CI/CD pass rates across every repository and flags degradation before it becomes a blocker.
Surfaces stalled merge requests, stale branches, and review bottlenecks across your entire GitLab instance.
No. Command analyses metadata - merge requests, pipeline results, review cycles, and issue data. It never reads or copies your source code. Your code stays in GitLab.
Yes. Command connects via API token to both GitLab.com and self-hosted instances. You control the access scope and can revoke the token at any time.
Under two minutes. You generate an API token with read access, paste it into Command, and it begins analysing your repositories immediately. First insights arrive within 48 hours.
No. Command adds intelligence on top. It finds patterns that dashboards cannot show - like which reviewers are bottlenecks, which pipelines are gradually degrading, and which sprint patterns predict delivery delays.
Command only accesses repositories you explicitly grant token access to. You can scope the token to specific groups or projects. It never accesses anything outside the scope you define.
Yes. Revoke the API token in your GitLab settings and Command stops immediately. No cached data is retained after disconnection.
Yes. Command analyses all groups and projects within the scope of your API token. It aggregates insights across your entire engineering organisation.
Your repositories know more than your standups. Command finds the delivery patterns hiding in 2,400 merge requests, 340 bottlenecks, and 14 flaky tests.
One-click OAuth. Live within 48 hours. No IT team required.
