AI has changed how software functions, especially with AI Assistants and AI Agents. These systems have already become an integral component in applications serving various domains such as customer service, automation, data processing, and even business decision-making. However, they bring their own set of challenges in terms of testing as compared to traditional software testing. ...

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Think of a critical application that is experiencing performance issues. Traditionally, you’ll see IT teams would need to manually investigate the problem, analyzing logs, metrics, and alerts to identify the root cause. And if you know how it goes with manually doing such operations, it is time-consuming and can result in prolonged downtime. In such ...

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Artificial Intelligence (AI) enables higher efficiency, accuracy, and scalability in software testing than traditional approaches. AI-based QA uses sophisticated algorithms to facilitate test case generation, defects detection, and predictive analysis with less human intervention but faster. However, using AI within QA workflows is not just sunlight and rainbows. There are inherent complexities in implementing it ...

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“AI is the most important thing humanity has ever worked on. I think of it as something more profound than electricity or fire.” – Sundar Pichai. With the emergence of AI, many industries have reshaped, and the field of Quality Assurance testing is no exception. Many companies use AI to enhance their products and processes. ...

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