AI-Powered QA Automation for Smarter Testing
Manual business data collection is both slow and resource-heavy. To overcome this, companies are turning to AI-powered web scraping, which transforms unstructured information from websites, social networks, and databases into structured business insights. Agiliway built a platform that not only automates lead discovery and analysis but also relies heavily on AI-driven QA automation to guarantee stability and accuracy at every stage.
QA Automation as the Core
While the primary goals of the platform were web scraping and lead generation, QA automation played a significant role during the development process. From the start, Agiliway integrated AI-driven testing into development to provide reliability, minimize manual oversight, and maintain consistent performance across the platform.
Unified Development and Testing
To streamline workflows, the team adopted Windsurf IDE. This environment allows both coding and automated test generation in a single space. With an AI assistant accessing the full codebase, test cases could be created quickly and maintained consistently. This eliminated redundancy and improved overall reliability.
Intelligent Test Automation
Playwright was selected for UI automation due to its built-in browser. It allows real-world user interactions to be replicated during testing. Its integration with Windsurf’s MCP server provides automatic generation and execution of test scripts. This automation significantly reduces manual regression testing and ensures that the user interface works as intended across various scenarios.
Context-Aware Test Creation
The testing process was improved even further with context-aware automation. Requirements are pulled directly from Jira, and documentation is retrieved from Confluence via the Atlassian MCP server. The AI agent combines these inputs with code analysis and UI inspection to generate test cases that align with actual business needs. This approach minimizes gaps between system requirements and testing results.
Centralized Case Management
Integration with TestRail guarantees that automated and manual test cases are always synchronized. This creates a single source of truth for QA efforts and makes collaboration between development and QA teams more effective.
Automated Bug Reporting
When test failures occur, the system generates detailed Jira tickets automatically. These include screenshots and essential metadata, and tasks are assigned directly to the responsible team members. This automation reduces manual tracking and speeds up bug resolution.
Connected Toolchain
Finally, Windsurf Cascade ties everything together, linking documentation, test cases, code, and tasks into one unified workflow. This approach allows QA to remain aligned with ongoing development and eliminates the risk of mismatched requirements or missed tests.
Value Delivered
By placing QA automation at the core of development, Agiliway delivers a reliable and future-ready AI-driven platform. Automated testing minimizes human error, accelerates release cycles, and maintains compliance with requirements at every stage.
The obtained result is a web scraping solution that not only delivers accurate business data but also remains stable, scalable, and efficient thanks to intelligent QA automation.
If you want your business to benefit from the adoption of AI-based solutions or automating your development processes, our experts are here to consult with you on the matter.
