Scaling Modern QA with Agentic AI: Automated Testing on AWS Using Amazon Bedrock AgentCore and Amazon Nova Act.

Quality assurance remains a critical pillar of software development, yet traditional QA methods are increasingly misaligned with modern delivery models and complex user interfaces. Most organizations still rely on a hybrid approach that combines manual testing with script-based automation tools such as Selenium, Cypress, or Playwright. While these tools provide value, QA teams often spend a disproportionate amount of time maintaining fragile test scripts rather than expanding test coverage.

Script-based automation is inherently brittle. Minor UI changes can break tests, specialized programming skills are required to maintain them, and coverage across browsers and devices is often incomplete. As organizations accelerate development cycles and adopt AI-driven applications, these limitations become a serious bottleneck.

Agentic QA automation offers a fundamentally different approach—one that replaces rigid scripts with intelligent, autonomous testing agents capable of adapting to change.

What Is Agentic QA Testing?

Agentic AI shifts QA from rule-based execution to intelligent, goal-oriented automation. Instead of following predefined scripts, agentic systems can observe interfaces, understand context, and make decisions in real time.

Key benefits of agentic QA testing include:

1. Autonomous test generation based on UI behavior and application structure
2. Dynamic adaptation to UI changes, significantly reducing test maintenance
3. Human-like interaction patterns, ensuring validation from a real user perspective
4. Improved coverage and reliability across browsers, devices, and workflows

For enterprises looking to scale QA without scaling manual effort, agentic AI represents a major step forward.

AgentCore Browser: Enterprise-Ready Infrastructure for Agentic QA

To run agentic QA at scale, organizations require secure, observable, and highly scalable infrastructure. Amazon Bedrock AgentCore Browser, a built-in capability of Amazon Bedrock AgentCore, is designed specifically for this purpose.

AgentCore Browser provides a secure, cloud-based browser environment that allows AI agents to interact with web applications in a controlled and enterprise-ready manner. Each browser session runs in an isolated, containerized, and ephemeral environment, ensuring clean test states and optimal resource usage.

Enterprise-grade features include:

1. Session isolation and ephemeral environments
2. Live viewing and session replay for full observability
3. AWS CloudTrail logging for audit and compliance
4. Concurrent execution of multiple browser sessions

These capabilities enable organizations to parallelize QA testing across multiple user journeys, environments, and scenarios—dramatically reducing overall testing time.

Amazon Nova Act: Orchestrating Intelligent QA Agents

The full value of AgentCore Browser is realized when combined with Amazon Nova Act, an AWS service designed to build, deploy, and manage fleets of reliable AI agents for production UI workflows.

With the Amazon Nova Act SDK, developers can decompose complex QA workflows into smaller, reliable commands while retaining full control through Python code, API calls, and direct browser interaction. Tests, assertions, and breakpoints can be embedded directly into agentic workflows, enabling advanced debugging and fine-grained control.

Together, AgentCore Browser and Amazon Nova Act form a comprehensive ecosystem for scalable, agentic QA automation on AWS.

Practical Example: Agentic QA for a Retail Application

To demonstrate this approach, consider a retail web application hosted on AWS within a private enterprise environment. Using an AI-powered coding assistant such as Kiro, QA teams can automatically generate UI test cases by analyzing the application’s codebase and structure.

Kiro reviews navigation flows, search functionality, filtering logic, and form interactions, then produces test cases in the JSON schema required by Amazon Nova Act. These tests are immediately executable through AgentCore Browser, significantly accelerating test creation while ensuring comprehensive coverage.

Each test is executed independently using pytest, with parallel execution enabled through pytest-xdist. During runtime, every test launches its own isolated AgentCore Browser session in the cloud, ensuring reliability and consistency. Test results—including logs and screenshots—are automatically compiled into detailed HTML reports for full visibility.

Parallel Execution, Observability, and Debugging

AgentCore Browser’s ability to run multiple sessions concurrently enables true parallel QA testing at scale. Entire test suites that previously ran sequentially can now execute simultaneously, drastically reducing feedback cycles.

Live view and session replay features provide transparency into agent behavior. QA teams can observe agents interacting with applications in real time or replay completed sessions to investigate failures. This level of observability improves trust in automation outcomes and simplifies root-cause analysis.

Conclusion: Modernizing QA with Agentic AI on AWS

Agentic QA automation represents a significant evolution in how organizations approach software testing. By combining Amazon Bedrock AgentCore Browser with Amazon Nova Act, enterprises can move beyond brittle scripts to intelligent, scalable, and resilient QA workflows.

As an official AWS partner, Softprom helps organizations design and implement modern QA and testing strategies using AWS-native AI services. From architecture design to deployment and optimization, Softprom enables customers to accelerate software delivery while maintaining high quality and reliability.

Contact Softprom to learn how agentic QA automation on AWS can transform your testing processes and support faster, more confident releases.