Who Tests the Machines? QE Leaders on Software Quality in the Age of AI-Written Code
A growing share of the world's code is now written by AI, and the platforms enabling that shift carry a new responsibility: if agents are doing the building, who ensures the quality?
This panel convenes leaders from the companies creating the modern software toolchain to debate what the SDLC looks like when agents generate, review, and test code; whether quality engineering becomes more critical or gets absorbed into the platform itself; how trust, security, and provenance work for AI-written software at enterprise scale; and what skills the next generation of engineers and testers will actually need. It's a rare view from the builders of the builders — the people whose product decisions will define how software gets made for the next decade.
About the speaker
Ankur Agarwal:
Ankur Agarwal is a Quality Engineering leader with extensive experience driving quality transformation, AI-driven testing, and enterprise test automation. He leads Quality Engineering for multiple AI-enabled product portfolios and manages high-performing global QA teams. He has spearheaded innovative solutions such as AI-driven automation platforms, visual testing frameworks, self-healing automation, and intelligent quality evaluation services, delivering significant improvements in automation efficiency, test coverage, and release quality. As a strong advocate for modern quality practices, Ankur collaborates closely with engineering, product, and business leaders to embed quality throughout the SDLC and drive innovation at scale.
Nandini Srinivasan:
Nandini Srinivasan is Vice President of Quality Engineering at Motive, where she leads a global team across cloud platforms, mobile, AI/ML, and embedded and firmware systems, reporting directly to the CTO. She's spent more than 25 years building and scaling quality organizations across SaaS, manufacturing, fintech, and IoT — and along the way, she's redefined what QA even means: from a test-execution function to a direct production-code contributor, with her team shipping hundreds of production fixes and running AI agents in production before her company's AI mandate existed. Her philosophy of quality pivots around the four-vector reliability framework she built — availability, scalability, quality, and performance. A recognized voice on quality, AI, and technology leadership, she takes the stage at TestMu to make the case that quality was never really about the tests.
Somu Suryanarayanan:
Somu Suryanarayanan is a Staff QA Automation Engineer at CookUnity, where he builds agentic test automation systems that run in production. He designed and shipped a mobile automation framework built on Appium and the MCP that took mobile coverage from zero to over 80% and reduced test authoring time from roughly six hours to about 10 minutes. He also built Test Studio, a repository-native platform that turns plain English requirements into Playwright tests. He is an IEEE member, a published author with work indexed in IEEE Xplore, and a peer reviewer and session chair for international conferences in computing and artificial intelligence. He has previously held engineering roles at Life360, MyVest, and PayPal.
About
TestMu Conf
Testμ (TestMu) is the world’s largest virtual conference on agentic engineering and quality, built by the community, for the community. As AI reshapes how we build, test, and ship software, Testμ Conf is where you connect, grow, and lead: agentic workflows, autonomous quality, battle-tested AI playbooks, hands-on workshops, and the engineering culture driving it all.
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