Without Claude or other advanced AI models integration, the Katalon AI Assistant is currently not effective enough to deeply analyze execution logs and accurately identify the exact root cause of failures. In most cases, we still need to apply our own knowledge and guide the AI in the right direction. The challenge is that only someone who already has a good understanding of the issue can provide the necessary context and prompts to help the AI reach the correct conclusion.
To test this, I intentionally executed a test suite and caused it to fail. Since I already knew the root cause, I was able to direct the AI toward the relevant area of investigation. However, if the same error log is provided to Claude, it can often pinpoint the underlying issue directly with minimal guidance, making root cause analysis much faster and more efficient.
