Systems | Development | Analytics | API | Testing

When Katalon made the decision to run its own quality practice entirely on the Katalon platform, it wasn’t just a symbolic gesture. It was a deliberate business decision to replace fragmented tools, eliminate reporting silos, and sharpen product-market fit—all while holding itself to the same standards expected by our customers.

Test scripts break. It’s one of the most frustrating parts of test automation. You update a button. The UI layout shifts. Suddenly, dozens of test cases fail because the locators no longer work. This is where self-healing test automation enters the scene. Instead of failing outright, these smart tests diagnose the issue, find an alternative path, and continue running.

Regression testing is one of the most important parts of software testing. It’s how you make sure that old features still work when new code is added. But running regression tests isn’t enough. You need to maintain them. Test maintenance means updating, cleaning, and adjusting your regression tests to match the latest changes in your product. Without it, your tests break, false positives increase, and your team loses trust in your test suite.

Recently I had the joy of talking to Daniel Knott, a well-known YouTuber and QA leader in the Healthcare testing space. He shares a lot of his knowledge and experience on his channel as well as his blog called Adventures in QA. In this interview, we talked about how Daniel found himself in the QA world, how he applies automation testing in his day-to-day work, and the implications of AI for Healthcare testing. Here are some takeaways from the discussion for you.

Agentic AI: autonomous, goal-seeking systems powered by large language models (LLMs) is rapidly transitioning from novelty to necessity. While developers are building impressive prototypes, many large enterprises remain stuck in pilot purgatory: mesmerized by potential, but unable to translate demos into durable systems that generate value at scale. Two leading visions frame the conversation: Each view highlights an essential dimension of the challenge but neither is complete on its own.

May’s release brings significant strides in browser support, cross-platform test execution, and intelligent AI-powered enhancements. Whether you’re running large-scale cloud tests, fine-tuning user journey maps, or adapting to Chrome’s latest changes, Katalon continues to innovate with features that boost precision, observability, and test coverage. Here is what we delivered in May.

Insurers today face intensifying pressure on multiple fronts. Operating margins have compressed by as much as 3 percent over the past five years, driven by deteriorating loss ratios, sustained inflation, and escalating competition from insurtech challengers. At the same time, legacy infrastructure and fragmented delivery models continue to hinder responsiveness, with product development cycles still exceeding 12 months for many carriers.

Insurers are facing tighter margins, rising costs, and pressure to modernize, which are all challenges that traditional levers alone can no longer solve. Amidst the struggle, Generative AI offers a breakthrough. With the potential to add $2.6 to $4.4 trillion annually to the global economy, which is higher than the UK’s GDP, it can redefine how insurers create value.

Recently, I had the pleasure of sitting down with Cristiano Caetano, VP of Product at Katalon, to explore his journey in software testing, a path that began with frustration, evolved through innovation, and now looks toward an exciting AI-driven future. Cristiano's insights shed light not only on his personal career path but also on the broader evolution and future of software testing.

The G2 Summer Report 2025 has arrived. Published by the renowned software review website g2.com, this report brings value to both sides of the market: With up to 37 G2 badges received this time, we're really happy to see that our product is resonating with users across a wide range of markets and industry segments, including DevOps, Software Testing, and Automation Testing. Here's a quick recap of the report.