Question: Can you recommend a low-code testing automation platform for Salesforce that can run full end-to-end tests?

If you're in the market for a low-code testing automation platform for Salesforce that can run full end-to-end tests, ContextQA is worth a look. The platform employs machine learning and artificial intelligence to ensure a good user experience on different devices and browsers. It supports a variety of testing types including UI, Cross Browser, Cross Device, Accessibility, and Web Performance testing. Integrations with tools like Jira, Slack, Azure DevOps, and GitHub mean ContextQA can easily fit into your existing workflow so you can get high-quality software to market faster.

Another good option is Katalon, an end-to-end software quality management platform. Katalon provides no-code test recording, drag-and-drop test objects and a flexible editor to make test creation easy. It supports web, mobile, API, desktop and packaged app testing, and integrates with popular CI tools like Jenkins and Azure DevOps. Its AI-powered tools like TrueTest for regression testing and Virtual Data Analyst for test data analysis can dramatically reduce the time and effort needed for testing, so you can get the most out of your digital products.

Relicx is another option. The tool employs Generative AI to rapidly create high-quality end-to-end tests, reducing the time spent on test authoring. It also features automated assertions, visual validation, self-healing tests and auto-validation of API errors. Relicx integrates with existing testing ecosystems and supports CI/CD pipelines, making it a good option for improving test quality and efficiency.

For a more complete solution, Tricentis offers a full quality engineering platform that uses AI to accelerate software testing. It includes modules for test automation, test management, performance testing and mobile testing, all with a focus on continuous testing that's integrated with your delivery pipeline. Tricentis Copilot brings AI-powered generative assistants to boost the productivity of QA and development teams, making it a good option for maximizing coverage and shortening test cycles.