Systems | Development | Analytics | API | Testing

When an automated test fails, the real work begins. You need to figure out what went wrong, where, and why. That’s where debugging in Selenium comes in. Whether you're dealing with a flaky test, a missing element, or a silent script timeout, debugging helps uncover the root cause. It’s not just a technical step. It’s a habit that shapes better test design and builds trust in your automation suite. Depending on how your tests are set up, there are many ways to debug them effectively.

Page titles may look simple, but they play a powerful role in UI testing. Every time you land on a web page, the browser title tells you where you are. That same logic applies to automation. With Selenium WebDriver, you can get the page title to confirm if your test is on the right screen. If you're trying to validate navigation, this ability to get title in Selenium helps confirm that the application behaves as expected. In this article, we’ll walk you through: Let’s get started.

AI agents aren’t futuristic abstractions. They’re focused, assistive tools that can plug into your existing test lifecycle today. From summarizing logs to drafting test cases and clustering defects, these agents reduce repetitive tasks without replacing your team. They're scoped, auditable, and easy to start small with, making them ideal for enterprise environments. The key is to treat agents as collaborators that accelerate insight, not as autonomous systems.

The future of testing isn’t about replacing humans with AI. It’s about augmenting your team’s capabilities. Assistive AI tools can summarize logs, generate test cases, triage defects, and surface insights - all while keeping humans in control. This low-risk, high-leverage approach helps enterprise teams move faster, improve coverage, and focus human judgment where it matters most. Start small, measure impact, and treat AI as a test assistant - not a magic box.

Cross browser testing in Selenium helps teams ensure their websites work smoothly for everyone, no matter which browser or operating system they use. From Chrome to Safari, Firefox to Edge, each browser interprets code a little differently. Even the same browser can behave in surprising ways across versions or devices. That’s where Selenium WebDriver comes in.

Katalon Studio 10.3 delivers a powerful set of enhancements designed to improve test automation efficiency, resilience, and reporting clarity. From mobile self-healing to a revamped email report template, this release is all about giving QA engineers smarter tools for faster, more reliable testing.

Testing is hitting its limits in speed, scale, and insight. AI-augmented and agentic systems can help but only if we adopt them intentionally. This blog series lays out a Crawl–Walk–Run maturity path for adopting agentic testing capabilities safely and strategically. We’ll show you how to move from assistive agents to coordinated systems without losing control or trust.

Every action you automate in Selenium starts with one thing: finding the right web element. That’s where locators come in. They guide Selenium to the exact button, input field, or text box it needs to interact with. Locators in Selenium are essential. Without them, you can't click a button, fill out a form, or verify if a message appears on the screen. They're the foundation of every test case you write. In this article, we’ll walk you through: Let’s get started!

When you write a Selenium test, every interaction depends on one crucial step: identifying the right element. Whether it's a button, input field, dropdown, or link, Selenium must find it before it can click, type, or select. This is where element locators come in. These strategies help your Python scripts pinpoint specific pieces of the page, just like a user would. In this guide, you'll learn exactly how to find element in Selenium with Python confidently and consistently.

The AI mandate is real. Boards and executives are demanding that software organizations move faster, embrace AI, and deliver without breaking trust. Development velocity is accelerating at machine speed, but testing has not kept up. The question every QA leader faces today is simple: will quality keep pace, or will it become the bottleneck? This is where the shift from automation to AI-native testing comes in.