Fitz Nowlan

Fitz Nowlan, VP of AI and Architecture at SmartBear and co-founder of Reflect, talks about testing in an era of agentic, non-deterministic systems. He explores why MCP-style agents break traditional testing, the rise of workflow-skeletons and LLM-driven evals, the shifting value of source code and data locality, and how on-prem and local agents reshape testing strategies.

Fitz Nowlan, VP of AI and Architecture at SmartBear with a PhD from Yale, dives into the transformative role of AI in software testing. He distinguishes between genuine innovation and mere hype, tackling the complexities of MCP servers and agentic AI. Fitz shares insights on visual testing and AI-driven test data generation, emphasizing user feedback's role in innovation. He highlights the need for companies to adapt and integrate AI while addressing security challenges, ensuring that developers stay ahead in the fast-paced tech landscape.

Fitz Nowlan, VP of AI and Architecture at SmartBear, shares his expertise on the groundbreaking integration of Generative AI in quality assurance. He discusses automating routine tasks to allow testers to focus on strategic decision-making. The importance of human judgment in maintaining quality standards is emphasized amid rising automation. Fitz paints a picture of a 'golden age' for QA, predicting a future where AI manages processes with human oversight. The conversation explores the evolving relationship between AI, vendors, and ethical considerations in software testing.