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Kuberns AI agent

Kuberns uses an agent-first workflow for new application and environment creation. A temporary agent host examines the selected source, determines deployment requirements, and returns a structured configuration to the Kuberns backend.

The agent is a provisioning step, not the long-running application runtime. After it completes or fails, Kuberns cleans up the temporary agent infrastructure.

The Kuberns AI agent analyzing a repository: live detection log on the left, and the Setup, Analyze Repository, Configure Env, Build, and Deploy phase stepper on the right

What the agent detects

The agent can report:

  • Framework and runtime details.
  • Application root and dependency-file paths.
  • Web port.
  • Base image and runtime packages.
  • Pre-build and post-build commands.
  • Procfile-style process commands.
  • Required environment-variable names.
  • Required servers, workers, databases, queues, and caches.
  • Generated Dockerfiles and deployable image references.

Kuberns stores the accepted result, provisions resources, and hands the environment to the standard build and deployment pipeline.

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