Artificial Intelligence
In General AI (Artificial Intelligence) is the ability of a computational system to perform task associated with human intelligence like problem solving, decision making.
For Example:
AI is like teaching a child. At first, you show the child many examples — like pictures of apples and banana. Over time, the child learns to tell them apart on their own. AI works the same way, but with computers learning from data instead of real-life experience.
In 2025 AI's presence is everywhere, in my situation I use AI as peer for asking doubts, sharing my feedback and correcting grammar mistake in email.
The Future of Manual Testing in the Age of AI:
Testing is a standard process in IT to ensure the delivery of high-quality software. Without testing, a software product cannot be released to the market with confidence. Manual testing forms the foundation of any testing process. Before an application is proposed for release, it must be well-understood, and impact analysis should be carried out. For this purpose, a manual testing team is essential to understand the requirements clearly.
Only when the requirements are well understood can AI models be trained effectively to support the testing process. Even in 2025, AI remains unreliable in certain cases. It will not completely replace manual testers but will serve as a powerful assistant. AI helps testers speed up their work, reduce repetitive tasks, and allow them to focus on more critical and exploratory aspects of testing.
In the future, AI can also play a role in training juniors, helping the testers grasp concepts faster, reducing time spent on repetitive activities, and allowing them to focus on self-development and advanced skills.
In conclusion, AI requires human supervision to be effective, while humans can benefit from AI’s assistance in handling complex systems. Rather than replacing each other, AI and humans will work in partnership to achieve efficiency and quality in software testing.
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