AI Agent: Mark Flaky Tests Our new AI-powered agent automatically detects flaky tests and assigns them a "Flaky" label based on test execution analytics. This helps teams quickly identify unstable tests
AI Agent: Write Descriptions from Code We’ve introduced a new AI-powered feature that automatically generates descriptions for automated tests that currently lack them. The AI agent analyzes each test’s code and
💬 Comments for Test Cases You can now add comments directly to individual test cases. This makes it easy to discuss details with your team, share context, and decide what actions to take next—
Meta Information Support in Manual Test Execution You can now add meta information during manual test runs using key-value pairs, enabling teams to capture execution context more precisely. Once the run is completed,
AI-Powered Requirements We’ve introduced AI-powered requirements analysis to streamline test coverage alignment with product requirements. When you link a Jira issue as a requirement in Testomat.io, the system will analyze the
