you built the Kubernetes platform
application teams love to use
Now stop daydreaming and
AI native framework for
Kubernetes Platform Engineering
AI native by design: your coding agent learns the Kubestack skill and works within the framework's conventions instead of improvising raw Terraform
One canonical way to do every task, so agent sessions produce consistent, reviewable code instead of a different approach every time
Agents only edit and validate local files, the GitOps pipeline owns all changes to real infrastructure, keeping non-deterministic LLM behavior away from production
and build a platform application teams love
to learn more about Kubestack
Why Kubestack?
Building a Kubernetes based platform requires tight integration of countless components across multiple environments. Maintaining such a platform without infrastructure as code is tedious and error prone.
Coding agents change how you write that infrastructure as code, but they do not change what makes it reliable. An agent working on raw Terraform quickly produces a slightly different approach in every session. An agent that has learned the Kubestack skill works inside a proven framework instead: one canonical way to scaffold, configure and evolve your platform, and a GitOps pipeline that owns every change to real infrastructure.
Kubestack is the AI native way to have your agent define your entire stack in one Terraform code base and continuously evolve your platform safely using GitOps.
Platform teams using Kubestack
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Context-aware access automation for humans and AI agents
Teams and platforms of any size
In platform engineering, there is no one size fits all. No matter if single engineer, or entire platform team. Using Kubestack your agent safely and reliably controls every aspect of your platform architecture. From cloud providers to regions, from environments to clusters, and from node pools to platform features.
GitOps workflow and pipeline
Agents are great at changing code, but you should not let them apply infrastructure changes. Kubestack strictly separates the two: your agent edits and validates files locally, the GitOps pipeline reviews, validates and applies every change. This keeps non-deterministic LLM behavior from ever reaching your running platform directly.
Platform module catalog and guides
The real value of platforms lies in making powerful, seamlessly integrated features available to application developers. The Kubestack skill teaches your agent to integrate modules for popular Kubernetes services in production ready configurations. And platform engineering guides help you deliver common platform features end to end.
The best Kubernetes for each cloud
build unified platforms using EKS, AKS and GKE
Kubestack builds on each cloud's managed Kubernetes offering for the best possible integration and support, but unifies platform features, developer experience and runtime environments for your application developers across all clusters and clouds. Your agent uses the same conventions everywhere, so a multi-cloud platform is no harder to maintain than a single-cloud one.
and build a platform application teams love
to learn more about Kubestack