AWS ships an inference-optimization skill for coding agents
AWS released the `aws-ai-ml` skill through its Agent Toolkit for AWS. MCP-compatible coding agents including Kiro, Claude Code and Codex can use it to benchmark SageMaker endpoints, compare runs, recommend deployment configurations and generate executable SageMaker Python SDK v3 code.
Why it matters: Inference sizing and benchmarking become an inspectable agent workflow rather than a sequence of manual console decisions. The skill can shorten exploration, but it also places deployment code, benchmark jobs and cloud spend behind the agent's AWS identity.