How does Rainforest QA's AI handle changes in a user interface to prevent test brittleness?
Rainforest QA's AI incorporates self-healing capabilities for tests. When UI changes occur, the AI automatically adapts and repairs the tests, ensuring they remain reliable and reducing the need for manual maintenance.
Can Rainforest QA integrate with existing CI/CD pipelines?
Yes, Rainforest QA is designed to fit into various workflows. It can be triggered via CLI, GitHub Actions, or CircleCI, and supports parallel test runs for fast feedback within your existing CI/CD pipeline.
What is the process for creating a new test plan using Rainforest QA?
Rainforest QA utilizes AI to analyze your site and recommend the most valuable regression tests. After the AI drafts these suggested tests in seconds, users can then refine them using a visual editor without needing to write any code.
How does Rainforest QA provide transparency into test results and failures?
The platform offers org-wide transparency, allowing anyone to see what has been tested, what failed, and the reasons behind those failures. This ensures clear signals and understanding across engineering, product, and QA teams.
Does Rainforest QA require specialized QA engineers or can ownership sit with other teams?
Rainforest QA is designed for flexible ownership and does not require specialized QA engineers. Its no-code, visual-first approach means that test creation and maintenance can be handled by Dev, Product, or QA teams.
How does Rainforest QA differentiate its no-code tests from other automation tools that might rely on CSS selectors?
Rainforest QA's no-code tests are built from the user's point of view and do not rely on brittle CSS selectors. This visual-first approach results in fewer breaks from small code changes, making the tests more robust and maintainable.