AI coding tools have dramatically accelerated the pace of development, and the bottleneck in the software development lifecycle has shifted to code validation and testing. However, the conventional tools and workflows that QA teams have relied on were not designed for a world where a single engineer can generate thousands of lines of code in a day.
SmartBear is a software quality platform spanning test automation, API lifecycle management, and observability. The company recently launched an AI-native QA platform called BearQ, which deploys autonomous agents that explore web applications, learns their structure and behavior, and authors and maintains test cases continuously.
Fitz Nowlan is the VP of AI and Architecture at SmartBear and the co-founder of Reflect, which is a web testing platform acquired by SmartBear in 2024. In this episode, Fitz joins Kevin Ball to discuss why web UI testing is uniquely challenging, how BearQ’s multi-agent architecture coordinates exploration and testing, why test data management becomes a hard distributed systems problem at scale, and what agentic development means for the future of QA.
Full Disclosure: This episode is sponsored by SmartBear.
Kevin Ball or KBall, is the vice president of engineering at Mento and an independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space.
Please click here to see the transcript of this episode.
The post SmartBear and Multi-Agent QA appeared first on Software Engineering Daily.
