Generative AI in Software Testing: How It Works and Why It Matters in 2026?
Software releases are moving faster than most QA processes were designed to handle. Agile sprints compress what was once a two-week testing window into 48 hours. Microservices architectures involve a single release impacting numerous interconnected components. The use of AI-generated code has increased the testing surface area beyond what any manual team can realistically manage. Currently, 29.9% of professionals utilize AI to enhance QA productivity, while 20.6% depend on...
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