Explores how AI-assisted coding tools accelerate development but create quality assurance gaps. Demonstrates using QA.tech, an AI-powered testing platform, to automatically generate and maintain end-to-end tests without traditional framework complexity. Walks through creating test cases, debugging failures, and organizing tests into scenario groups for a ticketing application, showing how the tool adapts to code changes and catches bugs before deployment.