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Launching a new project is always a thrill yet what’s even more exciting is what happens next .
When we showed Caesr.ai to the real-world, we were humbled to see over 500K test automation professionals join our platform in the early weeks. However, this number isn’t just a milestone, it is a massive real-time dataset that gives a unique snapshot into the future test automation.
So, we are not here to talk about what kind of features our product have. We’re here to share with you the community that has shown us about the future of our industry. We analyzed the patterns, the choices and the behaviors of this incredible user base, and we found a few massive changes underway.
In this news letter, we will dive into three key trends that we believe will define the new wave of automation. These key trends are a paradigm shift towards durable automation, generative AI revolutionizing test creation, and achieving real collaboration through automation.
Trend 1: The End of the Selector Era and the Massive Shift to Visual Recognition
If there is one amazing phenomenon our launch data showed us, it is that teams are no longer looking for temporary solutions for brittle, the tests that are based on selector, but are instead demanding a basic paradigm change.
The most embraced part of our platform wasn't a single feature, but the main approach of automating by visually understanding the UI like a human way. This shows that industry’s powerful drive to escape the essential limitations of selector based automation , which causes tests to break with the slightest change to the front-end code.
Teams are no longer just seeking for a ‘better selector.’ They are actively adopting a new paradigm that is unbreakable by design and does not require selectors at all. This is not just a trend. It’s the beginning of a huge transformation.
Trend 2: Generative AI is Solving the Challenge in Test Creation, Not just Execution
Until now, the challenges in automation have been centered on test execution and maintenance. However, the real challenge is now changing to the creation of test cases. Our data clearly shows how generative AI is solving this problem.
Teams that used Caesr.ai's ability to automatically generate test , by visually analyzing real user session recording were able to expand their test coverage 40% faster on average in the first month. This shows developers or QA engineers can now use their time effectively on repetitive script writing and concentrate on more complex, creative problem solving. Speeding up test creation is becoming a key driver for accelerating the entire development process.
Trend 3 : When Automation Becomes a ‘Language’, Not just ‘Code’, True Collaboration Begins
Only developers who could read a test script could join in automation discussions in the past. Now automation is becoming a tool for communicating with the entire team.
Our collaboration features, such as integrations with Slack and Microsoft Teams and shared dashboards, saw three times more usage than we projected. What’s especially remarkable is that because AskUI’s automation scripts are composed of human-readable, natural language like ‘Click the button with the shopping cart icon’, non-developers like PMs or designers can easily understand the test and actively participate in the quality conversation.
When automation becomes a language for everyone, quality finally becomes a shared responsibility for the entire team, allowing true collaboration.
The Future of Testing: Smarter, Faster and More open
Based on the data, we can see a clear picture of 2026. The future of test automation is defined by visual stability that exceeds selectors, accelerated test creation with AI and open collaboration based on natural language.
For us at AskUI, these insights are more than just interesting data points. They are a mandate from the community and the compass leading the future of Caesr.ai’s development as we work to build a platform that doesn’t just follow the future of testing, but helps create it.
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