Marlene Mhangami

This talk introduces Model Context Protocol (MCP) apps, which enable server tools to return rich, interactive components directly within chat interfaces. MCP apps enhance user experience by allowing direct interaction with generated UIs, moving beyond simple text or emoji responses. This technology facilitates complex tasks like data exploration and e-commerce within a chat environment, improving efficiency and engagement.

This talk explores how to move beyond traditional code coverage metrics to ensure true functionality testing, especially in the context of AI-assisted development. It argues that while AI can increase code output, its true productivity gains are amplified by clean codebases and robust testing. The presentation introduces Playwright as a tool for end-to-end browser testing, demonstrating how it can be integrated with AI agents to accelerate development workflows, particularly within a test-driven development (TDD) framework.