Accessibility testing is critical, yet often under-tested due to limited expertise, time constraints, and manual effort. While tools exist, teams still struggle to translate WCAG guidelines into actionable, repeatable automated checks. In this session, Sidhartha will explore how AI can responsibly assist accessibility testing — not by replacing standards or human judgment, but by bridging the gap between guidelines and executable tests. Using Playwright MCP together with an LLM CLI, Sidhartha will demonstrate how AI can: interpret WCAG requirements, generate meaningful accessibility test...
Sidhartha Shukla

Sidhartha Shukla is a seasoned Software Development Engineer in Test (SDET) with 16+ years of experience, currently working at Amazon. His work focuses on test automation, API testing, Playwright, and AI-assisted quality engineering, helping teams build reliable, scalable, and maintainable test systems. Sidhartha is also an inventor with granted patents and an IEEE-published author, contributing to applied research in software engineering and testing. He has spoken at 15+ global conferences across the United States, Canada, and India, sharing practical, real-world insights. Sidhartha is recognized in the global QA community for work in AI-driven debugging, root cause analysis, accessibility testing, and CI reliability, and his contributions were featured on the Times Square billboard. Sidhartha is also active online with 88,000+ LinkedIn followers and 65,000+ newsletter subscribers, focusing on practical engineering over hype.