Accelerate Software Delivery with Agentic QA Automation Using Amazon Nova Act

Quality assurance (QA) automation is critical for modern software delivery. It identifies regressions before production, validates user journeys at scale, and enables confident feature releases. However, traditional QA automation solutions are often brittle and require specialized programming knowledge, slowing down software delivery. Automation frameworks rely on implementation details such as UI selectors, element identifiers, and structural references to navigate applications. When developers refactor UI code or designers adjust layouts, tests break even if functionality remains intact. This maintenance burden arises from a mismatch in how teams work. Product managers define acceptance criteria in business language, development teams implement features, and then developers write automation code. This creates a distance between testing and those who understand user needs, forcing software teams to focus on maintaining tests instead of delivering features.

These challenges are addressed by Amazon Nova Act, an AWS service that builds fleets of reliable agents to automate production UI workflows at scale. Its custom computer use model interacts with applications in the same way that users do: through natural language and visual understanding, rather than code inspection. This removes code-dependent selectors and technical barriers, enabling agentic QA automation that reduces test maintenance overhead, democratizes test management, and accelerates software delivery cycles. In this post, we demonstrate how to implement agentic QA automation through QA Studio, a reference solution built with Amazon Nova Act. You will see how to define tests in natural language that automatically adapt to UI changes, explore the serverless architecture that executes tests reliably at scale, and get step-by-step deployment guidance for your AWS environment.

QA Studio provides a web frontend, API, and CLI for managing QA automation, built on serverless AWS infrastructure and powered by Amazon Nova Act for agentic UI automation. You can run tests on demand, schedule them automatically, or trigger them as part of your continuous integration and delivery (CI/CD) pipeline. Amazon Nova Act translates natural language instructions into browser interactions, including navigation, data extraction, and assertions. Teams can use this to define tests in the same language they use to describe product requirements, creating unified specifications where requirement changes flow directly into test definitions.

Teams can use QA Studio to create and execute tests using natural language to define test steps. Users create test suites through live browser preview powered by Amazon Bedrock AgentCore Browser, test generation from user journey descriptions using Amazon Bedrock, secure data entry through AWS Secrets Manager, and other capabilities. Amazon Nova Act translates these test definitions into browser actions, while QA Studio provides the interface, allowing test authors to create and manage tests without writing or maintaining code. The computer use model of Amazon Nova Act navigates applications using their visual appearance and context rather than relying on code-dependent selectors. When designers adjust button placements or developers refactor component structures, tests adapt automatically. This removes the brittleness that creates maintenance overhead in traditional frameworks, allowing test authors to focus on what the application should do rather than how to locate elements in code.

QA Studio provides an interface for users to execute and monitor tests, utilizing the visual navigation of Amazon Nova Act for UI automation, data extraction, and state validation. Teams can use this to focus on delivering features rather than maintaining test infrastructure. Amazon Nova Act provides trajectory logs that capture its visual reasoning and decision-making at each step, showing exactly what the agent saw and why it took specific actions. This transparency transforms debugging from parsing technical stack traces into understanding test behavior through natural language descriptions and visual context.

QA Studio surfaces these insights throughout the testing lifecycle. During test creation, users preview steps with the live browser. When tests execute, teams receive real-time status updates and can monitor progress across test suites. After tests complete, QA Studio provides test recordings, results, and Nova Act trajectory logs with screenshots, allowing teams to identify issues without debugging code-level errors. This serverless architecture provides automatic scaling and consumption-based economics with pay-per-use pricing across all AWS services.