AI-Assisted Automation
Smarter, Faster, Self-Improving Automation Powered by AI + MCP
QAstra’s AI-Assisted Automation framework transforms traditional automation by enabling smarter test generation, self-healing, and intelligent execution.
Using advanced AI models — supported by application insights delivered through MCP Server integration — your automation becomes highly adaptive and incredibly stable.
Using advanced AI models — supported by application insights delivered through MCP Server integration — your automation becomes highly adaptive and incredibly stable.
Key Capabilities
- AI-Generated Test Cases: AI analyzes flows, requirements, and UI patterns to automatically propose missing tests.
- Self-Healing Locators : Using DOM context from MCP, the AI instantly detects and updates broken selectors.
- Intelligent Execution Logic: AI dynamically chooses alternative paths when elements change or appear unexpectedly.
- Failure Classification & Root-Cause Insight: Logs, traces, screenshots, and console errors are streamed via MCP → AI produces clear, actionable summaries.
- Continuous Learning Loop: Every test run improves stability over time as AI learns patterns and risky UI areas.
Tech Stack
- Playwright / Cypress / WebdriverIO
- Appium (AI-supported)
- MCP Server (Context Provider)
- AI Reasoning Layer (LLMs)
Business Impact
- 60–80% reduction in flaky tests
- 40% faster automation delivery
- 75% lower maintenance cost
- Faster releases with higher confidence
Who Should Use This
Teams who want a next-gen, zero-maintenance automation framework.
Teams who want a next-gen, zero-maintenance automation framework.