Recently, Daniel Knott, the man behind the YouTube channel Software Testing by Daniel Knott, had a lively discussion with Coty Rosenblath, CTO at Katalon, on the aspects of AI in software testing and how it will change the industry.
Recently, Daniel Knott, the man behind the YouTube channel Software Testing by Daniel Knott, had a lively discussion with Coty Rosenblath, CTO at Katalon, on the aspects of AI in software testing and how it will change the industry.
Some key takeaways from the discussion:
AI is revolutionizing testing by automating tedious tasks, analyzing test cases, and identifying patterns in real-world user behavior. Katalon’s AI-powered solutions, such as TrueTest and TestOps, leverage large language models (LLMs) to:
- Generate test cases from requirements (integrating with JIRA, ALM tools).
- Automate test execution while maintaining human oversight.
- Analyze real-world user interactions to improve coverage.
However, human testers remain irreplaceable. AI assists but cannot replace the need for critical thinking. At the same time, QA professionals must continuously evolve to become a "hybrid tester", one who combine AI tools, domain knowledge, exploratory testing mindset, and automation testing skills.
Watch the full discussion below:
Frequently asked questions
AI is transforming testing by automating tedious tasks, generating test cases from requirements, analyzing test assets, and learning from real user behavior to improve coverage and make test execution more intelligent and efficient.
Katalon’s TrueTest and TestOps use large language models to generate test cases from tools like Jira and ALM systems, automate test execution with human oversight, and analyze real-world user interactions so teams can strengthen test coverage where it matters most.
No. AI supports and augments testers but does not replace them; human critical thinking, judgment, and context are still essential for interpreting results, handling ambiguity, and making risk-based decisions.
A hybrid tester is a QA professional who combines AI tools with domain knowledge, exploratory testing skills, and automation expertise, using all of these together to deliver better quality in an AI-augmented testing landscape.
As AI takes over repetitive work and test generation, QA professionals need to evolve towards hybrid roles, focusing on leveraging AI effectively, deepening domain understanding, and strengthening exploratory and strategic testing skills to stay relevant and drive overall quality.
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