All news with #amazon q developer tag

Enhanced Cost Management in Amazon Q Developer Chat

💡 Amazon Q Developer now includes enhanced cost management features that let users analyze costs across broader Cloud Financial Management domains with advanced analytics. Users can ask open-ended questions about historical and forecasted costs, optimization recommendations, commitment utilization, anomalies, budgets, free tier usage, and product attributes. Q explores data, forms hypotheses, performs calculations, and shows the API calls and console links used for transparency.

Amazon Q Developer Gains Service Pricing and Estimates

🔍 Amazon Q Developer now offers integrated pricing and cost estimation, enabling developers and architects to query product attributes, regional availability, and service pricing in natural language. The assistant retrieves data from the AWS Price List APIs to provide workload cost estimates and side-by-side comparisons, so teams can evaluate cost/performance tradeoffs without manually consulting multiple pricing pages. Access the feature via the Amazon Q chat panel in the AWS Management Console.

Amazon ECS adds Amazon Q Developer task definition AI

🤖 Amazon ECS now offers generative AI assistance from Amazon Q Developer to streamline task definition creation and updates in the AWS Management Console. Developers can use an inline chat to generate, explain, or refactor task definition JSON, inject suggestions at any point, and accept or reject proposed edits. Inline suggestions are enhanced to let Amazon Q Developer autocomplete whole blocks of sample code in addition to property-based hints. The capability is available where Amazon Q Developer is offered and can be enabled or disabled via the console code editor settings or controlled with IAM permissions.

Improved AI Assistance in Amazon SageMaker Unified Studio

🤖 Amazon Web Services announced enhancements to the Amazon Q Developer chat experience within SageMaker Unified Studio Jupyter notebooks and added a command-line interface for use in notebooks and the Code Editor. By integrating with Model Context Protocol (MCP) servers, the assistant becomes aware of project resources—data, compute, and code—and provides personalized, context-aware help. These updates aim to speed tasks like code refactoring, file edits, and troubleshooting while preserving transparency around assistant actions. The capabilities are available at no additional cost via the Amazon Q Developer Free Tier where SageMaker Unified Studio is offered; customers can enable Amazon Q Developer Pro for expanded functionality.