Amazon Q Developer

Previously, asking “Show me the health of my production environment” returned a text summary that customers had to read line by line. Today, Amazon Q orchestrates calls across multiple services, gathers health data, and renders a dashboard with status indicators—giving customers a complete picture at a glance. Similarly, “Graph network utilization for my EC2 instances over 12 hours” now generates an interactive time-series chart with trend lines and anomaly highlighting —making it faster to spot issues and take action. These responses are also noticeably faster, so customers get complete answers in seconds rather than waiting on multi-step, text-only replies. To use Amazon Q in the AWS Management Console, click on the Q icon on the top left after you sign-in to the AWS Management Console. Enhanced visualization features for Amazon Q Developer are available in all AWS Regions where Amazon Q Developer is available. To learn more, see the Amazon Q Developer documentation.

These prompts include commonly asked cost questions like "Show me my top spending services for this month." Amazon Q provides detailed insights while Cost Explorer simultaneously updates with the corresponding visualization, filters, and groupings. You can also ask custom questions in your own words using the new 'Ask Question' button, exploring your spending patterns conversationally. Cost Explorer automatically updates charts and tables when analysis is based on your cost and usage data. When Amazon Q compiles insights from additional datasets such as pricing or anomaly detection, visualizations are displayed in Amazon Q's new artifacts panel. You can continue the conversation with follow-up questions while maintaining full context, allowing you to go from a quick cost check to a deep investigation without switching tools or breaking your workflow. Natural language cost analysis for AWS Cost Explorer is available today in all commercial AWS Regions at no additional charge. To learn more, visit AWS Cost Explorer. To get started, see the user guide.

You can then centrally view each account’s network topology, network security findings, and recommended remediations for missing or misconfigured network security services. You can also easily summarize and report on the network security misconfigurations identified by AWS Shield network security director from within Amazon Q Developer in the AWS Management Console and chat applications. AWS Shield network security director is also now available in five additional AWS regions: Europe (Ireland), Europe (Frankfurt), Asia Pacific (Hong Kong), Asia Pacific (Singapore), and Australia (Sydney). To learn more, visit the overview page.

With these capabilities, FinOps practitioners, engineers, and Finance professionals can increase productivity by delegating more cost analysis and estimation tasks to Q. For example, customers can ask "Why did costs for this application increase last week?". Q will explore the data by retrieving costs and usage quantities by service, account, or resource, form hypotheses, gather data from multiple sources, and perform calculations ranging from simple period-over-period cost changes to unit economic metrics like effective cost per instance-hour. Q provides transparency on each API call it makes to retrieve data, including specific parameters used, and provides matching console links where customers can verify the data or dive deeper. To get started, open the Amazon Q chat panel from anywhere in the AWS Management Console and ask a question about your costs. To learn more, see Managing your costs using generative AI with Amazon Q Developer in the AWS Cost Management user guide.

Customers can now use Amazon Q Developer to retrieve detailed product attribute and pricing information using natural language, making it easier to estimate the cost of new workloads without having to review multiple pricing pages or specify detailed API request parameters. Customers can now ask questions about service pricing (e.g., “How much does RDS extended support cost?”), the cost of a planned workload (e.g., “I need to send 1 million notifications per month to email, and 1 million to HTTP/S endpoints. Estimate the monthly cost using SNS.”), or the relative costs of different resources (e.g., “What is the cost difference between an Application Load Balancer and a Network Load Balancer?”). To answer these questions, Amazon Q Developer retrieves information from the AWS Price List APIs. To learn more, see Managing your costs using generative AI with Amazon Q Developer. To get started, open the Amazon Q chat panel in the AWS Management Console and ask a question about pricing.

To configure a remote MCP server, specify the transport type as HTTP, the URL where users will get authentication credentials, and any optional headers to include when making the request. You can configure remote MCP servers in your custom agent configuration or in mcp.json. When a CLI session is initiated, you will see the list of MCP servers to load and can query the list for the authentication URL. Once you successfully complete the authentication steps, Q Developer CLI will query the tools available from the MCP server and make it available to the agent. Remote MCP servers are available in Amazon Q Developer CLI and Amazon Q Developer IDE plugins. For more information, check out the documentation.

Q Developer checks and applies admin settings at the start of each session, and also every 24 hours while the client is running. MCP admin control support for Amazon Q Developer applies to the Amazon Q Developer CLI, and all Amazon Q Developer plugins: VSCode, JetBrains, Visual Studio, and Eclipse. Check out the documentation to learn more.

First, it provides visibility into your network topology, which shows you the resources in your account and how they are connected to each other and the Internet. It discovers enabled AWS network security services, such as AWS WAF, VPC security groups, and VPC network access control lists (NACLs), and determines how well they are configured relative to AWS best practices and threat intelligence. Second, AWS Shield helps you quickly identify which missing or misconfigured firewalls require your immediate attention by showing you network security findings on your resources, prioritized by severity level. Lastly, for each finding, you can view actionable remediation recommendations to correctly implement or update the configuration of the network security services you use. Easily get answers, in natural language, to questions about your network security configurations from AWS Shield network security director within Amazon Q Developer in the AWS Management Console and chat applications. For example, you can ask “Are any of my Internet-facing resources vulnerable to DDoS?”, and Amazon Q shows relevant network security findings on specific resources with recommended remediation steps. This capability is available during preview at no additional cost in select AWS Regions: US East (N. Virginia) and Europe (Stockholm). Amazon Q Developer’s capability to analyze network security configurations is available in preview in US East (N. Virginia). To learn more, visit the overview page.

MCP servers can be managed within the Q Developer user interface, making it easy to add or remove servers, and modify tool permissions. By extending your IDE, Q Developer is able to provide more customized responses by orchestrating tasks across native and MCP server-based tools. MCP support is available within the Visual Studio Code and JetBrains IDE plugins, and Amazon Q Developer CLI. To get started, visit the Amazon Q Developer documentation or read the blog to learn more.

With this update, free tier users can now upgrade to the Amazon Q Developer Pro tier to get additional usage without requiring any additional configuration or management. As users reach free tier limits for Amazon Q Developer, they will be prompted to subscribe to the Pro tier by connecting their AWS account. Users can then connect their Builder ID in the Amazon Q Developer console, and sign up for Pro tier subscription. Amazon Q Developer Pro tier upgrades for Builder ID are currently available in all regions where Amazon Q Developer is supported. To learn more about using Builder IDs with Amazon Q Developer, including detailed information on limitations and upgrade options, visit the Amazon Q Developer documentation. Get started today by signing up for a free Builder ID and installing Amazon Q in your preferred IDE or command line interface.

To get started, simply type in your prompt in your preferred spoken language. As Q Developer works through your tasks, it provides continuous status updates, instantly applying your changes and feedback along the way. This allows you to seamlessly complete tasks, while improving and streamlining the development process. The agentic coding experience is available in all AWS regions where Q Developer is supported. To learn more about agentic coding in Visual Studio and JetBrains, read our blog.

As Q Developer works through your tasks, it provides continuous status updates, instantly applying your changes and feedback along the way. This helps Q Developer create code, generate unit tests, and perform code reviews significantly faster, streamlining development workflows across the entire software development lifecycle. The Amazon Q Developer plugin for the Eclipse IDE is available in all AWS regions where Q Developer is supported. Learn more and download the free Amazon Q Developer plugin for Eclipse to get started.

You can choose from premium models - Claude Sonnet 4, Claude 3.7 Sonnet, and Claude 3.5 Sonnet - using the “/model” command, launch a new chat with a specific model using the "q chat --model " command, or configure default model settings using the "q settings chat.defaultModel " command. This allows you to refine specific use cases such as long-running development tasks, while providing greater control over your development workflows and increased flexibility in model selection. Anthropic's Claude Sonnet 4 is available in the Q Developer CLI across all supported Amazon Q Developer regions at no additional cost. For more information, visit the Amazon Q Developer documentation.

With this launch, customers can ask Amazon Q Developer questions like "How can I lower my AWS bill?" to receive prioritized recommendations based on potential savings, implementation effort, and performance risk. Customers can also ask detailed follow-up questions like "How was this recommendation calculated?" or "How was this instance identified as idle?", and receive narrative explanations including metrics, configurations, and customization options. Customers can also ask Amazon Q Developer to analyze their costs, check resource details, and receive step-by-step implementation guidance, completing more of their end-to-end cost optimization workflow through natural conversations. This feature is available in the US East (N. Virginia) region, and provides cost optimization recommendations spanning all commercial AWS Regions, except the China Regions, and the AWS GovCloud (US) Regions. To learn more about using Amazon Q Developer for cost optimization, see the Amazon Q Developer User Guide. To get started, simply open the Amazon Q chat panel in the AWS Management Console and ask about ways to optimize your costs.

Now, it combines deep AWS expertise with new multi-step reasoning capabilities that enable it to consult multiple information sources and resolve complex queries within the AWS Management Console and chat applications.Customers can ask questions about AWS services and their resources, leaving Amazon Q to automatically identify the appropriate capabilities tools for the task, selecting from AWS APIs across 200+ services. Amazon Q breaks all queries into executable steps, asks for clarification when needed, and combines information from multiple services to solve the task. For example, you can ask, “Why am I getting 500 errors from my payment processing Lambda function?” and Q automatically gathers relevant CloudWatch logs, examines function’s configuration and permissions, checks connected services like API Gateway and DynamoDB and analyzes recent changes - all while showing progress and reasoning to enable builders to work more efficiently. These new capabilities are accessible in all AWS regions where Amazon Q Developer is available. Learn more in this deep-dive blog.

Then, Amazon Q Developer agents automatically implement new features, generate bug fixes, run code reviews on new pull requests, and modernize legacy Java applications, all within the GitHub projects. While generating new code, the agents will automatically use any pull request workflows, refining the solution and ensuring all checks are passing. Developers can also collaborate with the agents by directly commenting on the pull request, and Amazon Q Developer will respond with improvements, allowing all teammates to stay in the loop. By bringing Amazon Q Developer into GitHub, development teams can confidently deliver high-quality software faster while maintaining their organization’s security and compliance standards. The Amazon Q Developer integration is available on GitHub, and you can get started today for free—no AWS account needed. To learn more, check out the Amazon Q Developer Integrations page or read the blog.

With MCP tools support, now you can integrate into Q Developer CLI tools from an expansive list of AWS pre-built integrations or MCP Servers that support the stdio transport layer. This allows Q Developer to provide more customized responses by orchestrating tasks across native and MCP server based tools. To get started with using an MCP server in Amazon Q Developer CLI and explore its new capabilities, visit the Amazon Q Developer documentation or read this blog to learn more.

With a deep understanding of your AWS cloud environment and resources, Amazon Q Developer looks for anomalies in your environment, surfaces related signals for you to explore, identifies potential root-cause hypotheses, and suggests next steps to help you remediate issues faster. The new operational investigation capability within Amazon Q Developer is available at no additional cost during preview. To learn more, see getting started and best practices documentation.

By running in a dedicated environment with built-in access to all the functionalities of a modern IDE, the agent is now able to generate multiple candidate solutions for a given problem, select the most promising one, and return higher quality code to the developer. With this new agent, developers can further accelerate their development team velocity. The update to the agent translates to more reliable suggestions and reduced debugging time for developers. This allows developers to focus on higher-level design and innovation, while the agent handles more routine coding tasks with increased accuracy. The new software development agent for Amazon Q Developer is available in all AWS Regions where Amazon Q is supported. Getting started with the software development agent is simple. Developers can begin using it immediately by typing '/dev' in the Q chat window in Visual Studio Code or JetBrains integrated development environment (IDE) where the Amazon Q Developer plugin is installed. To learn more about Amazon Q, visit the Amazon Q product page or refer to the agent documentation.

Amazon Q Developer Administrators can configure their user settings so that data is stored in Europe (Frankfurt) Region and inference is performed in EU geographies using cross-region inference (CRIS) to reduce latency and optimize availability. If you are requesting to contact AWS Support your data will be processed in the US East (N. Virginia) region. Amazon Q Developer is now generally available, and you can use it in the following AWS Regions: US East (N. Virginia), and Europe (Frankfurt).

This allows you to efficiently complete tasks, improving and streamlining the development process, without needing to leave your terminal. The enhanced CLI agent, powered by Anthropic's most intelligent model to date, Claude 3.7 Sonnet, is available on Amazon Q Developer Free, and Pro tiers and in all AWS regions where Q Developer is available. Learn more.

In addition to regression and classification predictive models, starting today users can build time-series models with Amazon Q Developer to support use cases such as forecasting product sales and resource demand. In addition, Amazon Q Developer now analyzes up to 25,000 rows of data for statistical computations on dataset features, while offering simplified customization of AutoML model training configurations to balance speed and accuracy. Additionally, Amazon Q Developer also delivers faster response times, resulting in more efficient guidance throughout the ML lifecycle, from data preparation to model deployment. Amazon Q Developer is now generally available in Amazon SageMaker Canvas in a total of 11 AWS Regions with today's launch of five additional Regions: US East (Ohio), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), and Europe (Ireland). To learn more about using Amazon Q Developer with SageMaker Canvas, visit the website or view the technical documentation.