Systems | Development | Analytics | API | Testing

Agentic AI systems don’t fail like traditional software - they hallucinate facts, pursue the wrong goals, overuse tools, and forget context. These failures look “correct” to traditional test cases, but feel dangerously wrong to users. One team tested an AI support bot - it passed every check, but in production, it gave refund advice that violated company policy. Not a code error. A reasoning failure.

APIs are the backbone of modern applications. They connect services, share data, and power almost every feature you see in a web or mobile app. As software becomes more complex, QA teams rely on web service testing tools to make sure APIs work as intended. These tools help you validate functionality, performance, and security while speeding up test creation and execution. With so many API testing tools available today, choosing the right one can feel overwhelming.

Automation testing is now the default for modern QA teams. Instead of spending hours manually clicking buttons, filling out forms, and triple-checking for bugs (only to miss one in production), testers can write a script once, and the machine takes over. It can mimic the user’s actions, flags issues, and gives teams back hours that they can use for more strategic tasks. When done right, automation testing is a game-changer.

Automation testing has become a core part of modern software development. Teams now rely on their automated tests to speed up releases and reduce human error. But running automated tests is not enough. You need to track the right indicators to see if your efforts are actually paying off. It's also easier to demonstrate QA's impact to leadership if you track the right KPIs.

June’s product updates focus on smarter test coverage and smoother execution. From spotlighting real user behavior with test gap analysis to improving manual and automated test workflows in TestCloud, Katalon continues to empower teams to test what matters most and do it faster. Here is what we delivered in June.

Choosing the right test automation tool can feel overwhelming. There are so many options, each promising to improve quality and speed up releases. The best tools do more than just execute tests. They integrate with your CI/CD pipelines, provide actionable insights, and make collaboration easier for the entire team. This is why understanding the factors and criteria behind each tool matters. In this guide, we will walk through everything you need to know to make a confident decision.

Jira is one of the most popular tools for Agile software development. But when it comes to managing test cases, Jira on its own is not enough. That is why teams use test management tools that integrate directly with Jira. These tools help QA teams create, organize, execute, and track test cases while keeping everything linked to Jira issues and user stories. They also provide real-time reporting, traceability, and automation integrations that make testing faster and more reliable.

Page Object Model in Automation Testing is one of the most popular design patterns for building maintainable and scalable test scripts. It is widely used by QA teams who want to write clean, reusable, and easy-to-maintain code when automating tests for web applications. The idea is simple yet powerful. Instead of mixing locators and actions directly in test scripts, the page object pattern in Selenium and other frameworks groups all the elements and actions of a page inside a dedicated class.