Ameya Natu
About Speaker
Ameya Natu
Quality Cloud Architect
ClearRoute
Ameya Natu — Senior QA and performance testing engineer with 14+ years of IT experience, specializing in performance testing frameworks, cloud architecture, and test automation. I design and implement scalable testing solutions using industry-leading tools including JMeter, k6, and Gatling, while leveraging AWS cloud services for infrastructure and CI/CD automation. My expertise spans both backend performance testing and mobile app automation across platforms including Robot Framework, Appium, and WebdriverIO. I’m passionate about building and contributing to open-source testing frameworks and tools that empower teams to deliver high-quality software at scale. Proficient in Python, Java, and JavaScript with a commitment to continuous innovation in QA engineering.
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Topic – AI Can Write Tests. But Are They Good?
A Live Demonstration of Guardrails for AI-Generated Tests
AI coding assistants have dramatically changed how developers build software. Tools like GitHub Copilot and other AI-powered coding companions can now generate functions, APIs, and even test cases within seconds. This shift has significantly improved developer productivity and reduced the time required to write boilerplate code.
However, as AI accelerates development speed, a new challenge is quietly emerging.