Technical debt and slow regression suites block agile delivery.
This hands-on session shows developers and QA engineers how to move Gen-AI beyond the hype.
We will:
- Explore the practical setup of a modern Java/TypeScript testing framework engineered to leverage AI tools.
- Learn how to identify, rewrite, and stabilize legacy tests using advanced Prompt Engineering, while managing AI hallucinations and traps.
- Walk away with 3 actionable steps to start implementing AI-driven refactoring today.

Target Audience: QA Leads, Software Architects, Senior Developers, and Test Managers.
Prerequisites: Basic understanding of Agile methodologies, E2E test automation concepts, and familiarity with Java/TypeScript environments.
Technical Requirements: Standard projector/screen for slides (16:9 format) and clicker. No risky live-coding is planned, but real architectural diagrams and code snippets will be presented.
Preferred Duration: 40-50 minutes (including 10 minutes for Q&A).
Additional Context: This proposal is driven by a real-world, large-scale enterprise case study. It focuses on practical implementation and measurable results (such as coverage metrics and regression times) rather than high-level theoretical concepts.