The article demonstrates how coding agents struggle with deploying models to Amazon SageMaker when relying solely on training data, particularly for newer models. Claude Code initially selected outdated serving containers and produced fragile deployments, but performed consistently and robustly once given task-specific skills written as Markdown files. By codifying deployment knowledge into six reusable skills covering image selection, IAM configuration, and production defaults, the agent successfully deployed models with autoscaling, monitoring, and proper documentation.
