Artificial Intelligence is rapidly changing how software is built, and test automation is no exception.Artificial Intelligence is rapidly changing how software is built, and test automation is no exception. Tasks that once took weeks, framework design, coding, debugging and research, can now be accelerated with modern AI assistants and autonomous agents.

In this practical, demo-driven session, we'll explore how tools such as Claude, GitHub Copilot, ChatGPT, Cursor and emerging AI agents can help design, build and evolve robust test automation frameworks across web, API and mobile applications. Rather than focusing on simple code generation, we'll look at how AI can assist across the entire framework lifecycle, from architecture and tooling decisions through to implementation, maintenance and ongoing improvement.

Topics covered include designing scalable automation architectures with AI, generating page objects, API clients and reusable components, prompt engineering for maintainable test suites, AI-assisted refactoring and code reviews, generating test data and scripts from requirements, self-documenting frameworks, integrating AI into CI/CD pipelines, and understanding the risks and validation strategies needed when using AI-generated code.

Attendees will leave with practical techniques, reusable prompting patterns and a realistic view of how AI can accelerate automation development while maintaining quality and engineering standards. Whether you're a tester, automation engineer, quality architect, developer or engineering leader, this session offers actionable insights into the future of AI-assisted test automation.