AI-assisted development is increasing the volume and pace of software change, but testing teams still devote substantial capacity to manual work and maintaining the automation they already have. The next stage of testing modernization depends not just on generating more tests, but on building automation that remains reliable as applications change.
Techstrong polled 137 practitioners and decision-makers involved in software testing or test automation to understand manual testing effort, automation maintenance, and readiness for AI-powered and autonomous testing. The findings show that 43% of respondents spend more effort maintaining existing automated tests than creating new coverage. While 62% consider continuous, largely autonomous testing a critical or important part of their future delivery strategy, 42% are actively evaluating or adopting AI-powered testing today.
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Guy is the CTO at Visible Impact, responsible for positioning, GTM, and sales guidance across technologies and markets. He has decades of field experience describing technologies, their business and community value, and how they are evaluated and acquired. Guy’s specialty areas include AI, DevOps/cloud-native/12-factor, enterprise applications, application integration, Big Data, governance-risk-compliance, containerization, virtualization, HPC, CPUs-GPUs, xPUs, and systems lifecycle management. Guy started his technology career as a research director for technology media company Ziff Davis, with stints at PC Magazine, eWeek, and CIO Insight. Prior to joining Visible Impact, he worked at Dell, including postings in marketing, product, and technical marketing groups for a wide range of products, including engineered systems, cloud infrastructure, enterprise software, and mission-critical cloud services. He lives and works in Austin, TX.