Amazon SageMaker has introduced an optimized generative AI inference capability delivered as the aws-ai-ml skill through the Agent Toolkit for AWS. The skill is designed to give coding agents such as Kiro, Claude Code, and Codex expertise in inference optimization and benchmarking. According to the announcement, a user describes their intended outcome in natural language, and the agent produces executable SageMaker Python SDK v3 code to benchmark deployments, recommend configurations, and compare options.
Why it matters
The skill connects coding agents directly to SageMaker inference tooling, allowing deployment benchmarking and comparison tasks to be expressed in plain language and translated into runnable code.
Who should care
Developers and teams working on generative AI inference on SageMaker, especially those already using agents like Kiro, Claude Code, or Codex, are the primary audience.