The age of Generative AI (Gen AI) has changed the way we develop, verify, and deploy intelligent systems. AI is no longer constrained to pre-defined tasks, but makes decisions, interprets, and creates new content on its own instead. This shift in paradigm, although exciting, poses a significant challenge: how can we make it so that ...

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AI is taking the world by storm. Almost everyone is using generative AI and finding it pretty impressive. Gen AI can create so much on your behalf, simplifying many challenging tasks across industries and skill sets. Statistics predict this enthusiastic adoption of generative AI as well. According to Statista, “Generative AI is anticipated to demonstrate ...

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Software testing is entering a new era. AI in software testing can support teams across the lifecycle, from understanding requirements and generating tests to executing workflows and analyzing failures. At the same time, products are embedding agents that can interpret requests, select tools, use data, and take action across business systems. These developments lead to ...

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Creating a useful automated test takes more than writing a few steps. QA teams need to understand the user journey, translate it into clear actions, add meaningful checks, and keep the test aligned with the application as it changes. Building that first draft can take time, especially when a scenario involves several screens, data inputs, ...

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The global LLM market is likely to reach nearly $150 billion by 2035, up from $10.57 billion in 2026. This clearly shows how Large Language Models (LLMs) are changing the way software applications interact with users. From AI-powered customer service and virtual assistants to code generation and smart search, you see them everywhere today. Unlike ...

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Generative AI produces new content in response to a prompt or other input. It can produce text, summarize documents, create images, generate software code, synthesize speech, and help people explore data. These capabilities have shifted AI from a background system that classifies or predicts information to a tool that people can interact with directly. A ...

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Generative AI in software testing is in vogue these days, and rightly so. These modern tools aim to simplify various aspects of software testing, such as building test scripts, managing and maintaining them, analyzing test results, and executing them. If you’re looking to up your QA game, then it’s time to upgrade to generative AI-based ...

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Generative AI is typically framed as an interaction between a user and a model where the user submits a prompt, the model generates a response, and the user evaluates the output. But, in general, important work like business proposals, software development, policymaking, and writing content is all better with multiple perspectives and review. Pair prompting ...

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All things AI, particularly the super-smart “chatbots” we keep hearing about, are trending right now. It’s not just for developers or data scientists anymore. We, the people in software quality assurance, are finding these AI tools a boon to us. Think of it this way: They can not only help us brainstorm test cases and ...

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AI adoption isn’t just growing; it’s happening at a staggering pace. According to DataReportal’s Digital 2026 analysis, more than 1 billion people use standalone AI tools every month. Factor in the AI features already built into products we use every day, from search and email to social media and creative apps, and that number climbs ...

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