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Validation testing is a critical process that ensures systems meet the highest standards of performance and reliability. By understanding the key types of validation testing, the phases involved, and the best practices to follow, businesses can enhance data quality, support decision-making, and prevent costly errors.

APIs are everywhere, quietly powering the apps and services we use daily. They allow seamless communication between software, forming the backbone of modern applications. However, if your APIs fail, your business eventually fails. Therefore, API testing becomes important as it checks for secure, high quality and integrated software.

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.

APIs power everything—from your favorite apps to critical business systems. But what happens when your API is subjected to large or unexpected traffic, security threats, or plunges under load? One weak link can destroy UX, destroy data or take down your service.