Ask Me Anything: AI Agents, Skills, Career and Growth [Testμ 2026]

At Testμ Conf 2026, QA instructor Rahul Shetty discussed how AI agents are reshaping testing careers, arguing that professionals should first master browser automation, API testing, testing fundamentals, and a programming language before adding agent-related skills such as MCP servers, skill files, context engineering, and AI evaluation. He recommended Playwright for beginners because it combines browser and API automation, while suggesting JavaScript or TypeScript for newcomers and advising experienced Java users to retain their existing language expertise. Shetty said meaningful AI experience in interviews requires practical knowledge of enterprise model hosting, data privacy, governance, token routing, and secure use of open-source and paid models rather than familiarity with consumer tools alone. For organizations adopting agentic QA, he contrasted building self-hosted infrastructure with subscribing to enterprise platforms that provide models, cloud capacity, and token management. He predicted that SDET roles will evolve toward designing agent goals, scenarios, and validation processes, potentially reducing traditional headcount but creating work in testing AI agents, chatbots, and RAG systems. He identified ISTQB as the most widely recognized certification, noted growing demand for AI testing frameworks such as DeepEval and Ragas, and emphasized that rapidly changing AI course material requires continual updates.

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