Write Once, Test Many: Leveraging AI for Sustainable UI Automation
About Topic
The emergence of Gen AI agents in UI test automation presents a critical choice: continuous AI-driven test execution versus leveraging AI primarily for code generation. This presentation challenges the narrative that UI automation requires constant AI intervention, demonstrating how well-structured tests with static element identifiers can achieve reliable execution without “auto-healing.” Drawing on two decades of industry experience, we’ll examine how AI is best utilized as a targeted tool rather than an execution engine.
Our proposed approach—using AI for initial code generation and targeted maintenance—delivers deterministic test behavior, reduces operational costs, and decreases dependency on third-party AI services. Through comparative case studies and practical implementation strategies, attendees will gain insights into creating sustainable testing frameworks that strategically harness AI’s capabilities while avoiding unnecessary complexity and expense. The session offers actionable guidance for testing professionals seeking to balance innovation with pragmatism in their automation infrastructure.
Key Takeaways
- Strategic AI Integration : Learn when to leverage AI for test code generation versus continuous execution to maximize benefits while minimizing costs and dependencies.
- Deterministic Testing : Discover how well-structured automation with static identifiers eliminates the need for constant “auto-healing,” resulting in more reliable and predictable test outcomes.
- Cost-Effectiveness : Understand the long-term ROI advantages of using AI selectively rather than for every test execution cycle in regression testing scenarios.
About Speaker
As an experienced Engineering Leader with over 15 years in Banking, eCommerce, and Telecom industries, I specialize in Developer Experience (DevEx), Engineering Productivity, and GenAI applications for enterprise. I bring a unique combination of technical expertise and leadership skills to drive innovation and build high-performing engineering teams.
My focus is on creating efficient development workflows, implementing scalable solutions, and leveraging artificial intelligence to solve complex enterprise challenges.
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