Akuity

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Today we're launching the Akuity Agentic Control Plane — a governed path for AI agents into production. From the creators of Argo CD and Kargo. Full launch post: https://lnkd.in/gW-kysye Let me explain why we built this. AI made writing code fast. Delivering it — testing, promoting, rolling back — is now the bottleneck. So teams do the obvious thing: they hand the agent a kubeconfig or an API token and let it work directly in production. And it works. Right up until someone asks what the agent did last night, and why, and nobody can answer. We're not making this up — 71% of organizations already have AI tools touching core business systems. Only 16% govern that access effectively. Our answer: connect the agent to the platform that already runs your deployments. What can it actually do? Real delivery work: 🔍 Answer questions your dashboards can't — "which version of web is in each production cluster?" or "what changed in the 30 minutes before this incident?" 🚑 Troubleshoot a degraded app end-to-end — health, events, logs, timeline — and validate the fix with a dry run before touching anything 🚦 Promote releases through the same gates as the UI — if it needs approval today, it still needs approval when an agent asks ⚡ Build a new pipeline from a sentence — the agent creates the Argo CD apps and Kargo stages, and commits the config to your repo And here's the part that matters most: this isn't a wrapper or a second policy system to maintain. The agent logs in as the person who connected it, so it can never do more than that person is allowed to do. Every action lands in the audit log, tagged as an agent action. And you can revoke access in one click. AI writes the code. Akuity delivers it under control. Press play — 45 seconds tells the story ▶️ #AgenticAI #GitOps #Kubernetes #ArgoCD #Kargo