Angie Jones, Global Vice President of Developer Relations at Block Incorporated, discussed agentic AI with Sauce Labs, a technology that is changing and evolving the software development and testing fields. Agentic AI differs from traditional LLMs like ChatGPT in its ability to perform tasks on behalf of users by connecting to their systems, providing full context, and implementing solutions. The Model Context Protocol (MCP) takes agentic AI further by allowing companies to build a wrapper around their existing APIs, enabling agents to interact with their products seamlessly. While AI can help with debugging and testing, humans are still needed in the loop to ensure software quality and provide guidance for junior developers and testers. Education is evolving to prepare people for this new reality, emphasizing traditional learning approaches supplemented by courses that introduce AI. Angie Jones also discussed her open source project Codename Goose, which enables LLM-agnostic agents to connect with multiple MCP servers, changing the future of work, particularly for testers, by increasing productivity and enabling more innovative work.