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
How We Built a System for AI Agents to Ship Real Code Across 75+ Repos [Part 2 of 2]
Learn how mabl moved agents from individual chat sessions into production pipelines that serve 25 engineers across 100+ repos.
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Introducing Active Coverage: Quality That Keeps Pace with Agentic Development
Active Coverage is the new way to integrate agentic software testing into your rapid release cycles, testing every piece of code your team creates with AI.
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How We Built a System for AI Agents to Ship Real Code Across 75+ Repos [Part 1 of 2]
Learn how development teams can productionize AI agents across the SDLC, not just as tools but as an architected pipeline with measurable governance.
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