** The Evolution of AI in Software Testing: A Shift from Automation to Intelligence

The world of software testing is undergoing a significant transformation with the integration of Artificial Intelligence (AI). Gone are the days of manual, labor-intensive testing processes. AI-driven testing leverages machine learning, natural language processing, and predictive analytics to make testing smarter, more efficient, and less reliant on human intervention.

Traditional automated testing had its limitations, including brittle scripts that required frequent updates and a narrow focus on predefined scenarios. In contrast, AI-powered testing can automatically generate test cases, self-heal test automation, predict high-risk areas for testing, and even integrate with DevOps pipelines for continuous testing.

Recent advancements in generative AI models have opened new possibilities in software testing, including the generation of detailed test scripts and identification of edge cases. As organizations strive for faster release cycles and higher software quality, AI-driven testing is becoming a critical enabler for achieving continuous integration, delivery, and testing.

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Source: https://dev.to/anil_csimplifyit_905c/the-evolution-of-ai-in-software-testing-from-automation-to-intelligence-437l