Question: I'm looking for a platform that uses AI to improve test quality and coverage, can you suggest one?

If you're looking for a platform that uses AI to improve test quality and coverage, RoostGPT is a great option. It uses large language models to create test cases at scale, ensuring 100% test coverage. This platform automatically generates unit and API test cases, enhancing test quality and coverage while speeding up the testing process. It supports multiple AI models and integrates with popular tools, making it suitable for various scenarios including new code, legacy systems, and Continuous Integration pipelines.

Another excellent choice is Relicx, a software testing tool that leverages Generative AI to quickly generate high-quality end-to-end tests. It offers automated assertions, visual validation, self-healing tests, and support for CI/CD pipelines. The tool is designed to reduce the time spent authoring tests and improve test quality, with features like session replay for debugging and automated baselining and change detection.

For web applications, Octomind is an AI-powered end-to-end testing tool that automates test discovery, generation, execution, and auto-fixing. It uses Playwright tests to ensure robust and efficient CI/CD pipelines by identifying critical user flows and preventing test flakiness. With features like auto-fixing of test code and high-performance hosting, Octomind integrates seamlessly with popular testing frameworks including GitHub and Azure.

Lastly, Katalon is a comprehensive end-to-end software quality management platform that accelerates testing and release processes with AI-powered tools. It offers features like no-code test recording, drag-and-drop test objects, and automatic code generation. Katalon supports web, mobile, API, desktop, and packaged applications, and integrates with tools like Jenkins and Azure DevOps, making it a versatile choice for teams looking to optimize their testing processes.