How GenAI and Performance Testing Cut Testing Effort and Improve Accuracy
Teams spend significant time writing and maintaining automation scripts. Even small UI changes require updates to the script, and keeping flows reliable becomes an ongoing effort.
At the same time, performance data is captured separately. It shows latency and system behavior, but it is not linked to what happened during a test run.
Because of this, a flow can pass without showing how it behaved between steps or under different conditions. Understanding a single issue requires going through scripts, test results, and performance data across tools.