Testing at the Speed of Agents: Salesforce's Evolving Approach to Agentic Testing
Agentic AI systems don't behave like the software QA teams were built to test. Outputs vary run to run, decisions happen at runtime, and pass/fail is rarely binary. In this session, John Liang shares how Salesforce has evolved its testing approach to keep pace, the assumptions that broke, the practices that replaced them, and what quality engineering teams should be rethinking now as agents move deeper into production.
About the speaker
John Liang:
John Liang is a Senior Director of Software Engineering at Salesforce, where he has spent 18 years helping build and scale enterprise software. He currently leads Q3 engineering for Service Cloud, with a focus on quality engineering and testing strategy. His work centers on the shift from static to dynamic testing methodologies in the age of agentic enterprise software — helping teams rethink quality practices as AI-driven systems become core to how software is built and validated. John is passionate about AI quality, testing innovation, and quality leadership, and regularly partners with engineering teams to raise the bar on how quality is measured and delivered at scale. At TestMu, he'll share how Salesforce has evolved its testing approach to keep pace with agentic AI systems.
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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