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The year 2025 marked an unprecedented surge in the adoption of AI-powered tools—from general-purpose systems like ChatGPT and Claude to specialized assistants such as GitHub Copilot, Testim Copilot, and Cursor AI, designed to generate or review code. As with every technological leap, organizations rushed to integrate these tools—driven by a familiar goal: to increase efficiency and productivity, to do more with less.

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AI in Testing

  • 章节

  • 发表日期：

    2026年

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  • Ahmed El-Deeb

摘要

The year 2025 marked an unprecedented surge in the adoption of AI-powered tools—from general-purpose systems like ChatGPT and Claude to specialized assistants such as GitHub Copilot, Testim Copilot, and Cursor AI, designed to generate or review code. As with every technological leap, organizations rushed to integrate these tools—driven by a familiar goal: to increase efficiency and productivity, to do more with less.