As teams transition from AI experimentation to full-scale production, the focus is shifting from "what's possible" to "how much it costs." This week's AWS roundup highlights a critical trend in the AI-Driven Development Lifecycle (AI-DLC): the urgent need for enhanced cost visibility and resource management as workloads scale. To support this evolution, AWS has introduced several key updates, including the preview of Claude Mythos in Amazon Bedrock and the launch of the AWS Agent Registry. These tools are designed to help developers build more sophisticated agentic workflows while providing the infrastructure needed to manage complex AI deployments efficiently. For cloud users, staying ahead means not just adopting new models, but mastering the orchestration and financial governance required to scale AI workloads sustainably on the cloud.