Blogs

TestGenX is an AI-native test automation tool designed to help QA teams automate testing at the speed of modern development. With no-code test creation, AI-driven maintenance, and parallel execution, it ensures fast, reliable tests for AI-powered applications.

If you’ve been following the AI space, you’ve likely heard the buzz around evals. Industry leaders agree that evaluating LLMs is key to building effective AI products. As AI continues to grow, learning how to run evals will become a must-have skill for QA professionals, product managers, and developers

The article explores the top test automation trends to watch in 2025, emphasizing the growing importance of AI-powered testing, low-code/no-code platforms, shift-left testing, and cloud-based solutions. It highlights the need for seamless integration with DevOps and CI/CD pipelines to enhance software quality, efficiency, and adaptability in the evolving software development landscape.

Flaky tests show inconsistent results across runs. They create unreliable outcomes, hurting test accuracy. These tests may report false positives or negatives. False negatives flag non-existent defects, wasting time.

Generative AI applications such as ChatGPT excel at making conversations, creating jokes, writing texts, and providing programming assistance, but how do we make sure they’re smart, safe, and fair?

In the rapidly evolving landscape of software development, QA teams never stop searching for means to optimize testing efficiency without losing precision. Playwright Model Context Protocol (MCP) has a new paradigm that is revolutionizing automated testing.