We are entering an era of unprecedented change in software quality practices. The continued rise of agile and DevOps are accelerating the pace of software delivery, driving the automation imperative and an increased need to focus on quality throughout the development lifecycle. Fortunately, we are an adaptable community, and our approaches to software practices are evolving quickly to respond to these challenges. We are building new skills. We are shifting left. And we are taking advantage of innovations in AI, low-code automation, and cloud computing to make testing automatic. In this session, we’ll use specific examples to illustrate how you can embrace innovation to respond to the disruptive forces in the software quality landscape. After that, with an eye toward the future, we’ll discuss how we can all prepare ourselves and our teams for the disruptions to come.
Quality Engineering Resources
mabl Demo
Transform software quality with mabl's AI-powered test automation platform. Easily create tests for web, mobile, and APIs and cut maintenance by 85%.
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Three Years of Building Agents in Production (Part 2)
Part 2 of our deep dive into how mabl moved from PaLM experiments to GenAI Assertions using LLM-as-a-judge, auto-healing, and retrieval-augmented context.
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Three Years of Building Agents in Production (Part 1)
A technical look at how mabl moved from PaLM experiments to GenAI Assertions using LLM-as-a-judge, auto-healing, and retrieval-augmented context.
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