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Explore the practical applications and limitations of Large Language Models in software testing through this 24-minute conference talk from ISTA Conference. Examine the current landscape of AI-powered testing tools, from open-source frameworks like Selenium and Playwright implementing MCP-style interfaces to established vendors integrating LLM prompts into their platforms. Analyze whether these AI capabilities deliver the determinism, speed, maintainability, and cost-efficiency required for scalable test automation, and evaluate if non-developers can effectively use these tools without constant developer oversight. Learn to distinguish between meaningful AI enhancements in testing and implementations that introduce risk, overhead, or false confidence. Discover the core requirements that effective AI-assisted automation tools must meet and understand how human feedback and careful design prevent flaky or brittle test outcomes. Get an in-depth look at Applitools Autonomous, an enterprise-grade autonomous testing platform that combines LLMs, Visual AI, and intelligent orchestration to create robust, scalable automated tests that require no coding skills while avoiding hallucinations and delivering trustworthy real-world automation.
