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Description

Endtest is an agentic AI platform for end-to-end test automation that helps teams create, run, maintain, and scale automated tests faster, without writing code. Teams can build tests manually, record browser actions, import files, or generate editable steps with the Endtest AI Test Creation Agent. Unlike generic AI tools that produce fragile code or black-box results, Endtest creates standard steps that users can review, modify, reuse, and execute like any other test. Endtest supports web, mobile, API, database, email, SMS, file, visual, accessibility, cross-browser, geolocation, and CI/CD testing. It is useful for QA teams, developers, product managers, founders, and organizations that want reliable automation without a custom framework. The platform includes AI-powered test maintenance, migration from other tools, file imports, and self-healing capabilities that reduce broken tests when apps change. Tests run in the cloud across browsers, operating systems, resolutions, and geolocations, helping teams validate user journeys. With unlimited AI usage and unlimited test executions, Endtest gives teams a predictable way to adopt AI-powered testing at scale without tokens, credits, or usage limits. By combining agentic AI, low-code automation, broad coverage, and editable steps, Endtest helps teams ship more reliable software faster while keeping full control over testing.

Description

A test execution is defined by a combination of a testing tool, a repository of tests, and specific arguments or parameters. You can utilize the out-of-the-box workflows provided by Testkube for various testing tools or create a personalized workflow tailored to your needs. It's possible to group related or unrelated test execution workflows into comprehensive suites for better organization. Additionally, you can establish a searchable repository filled with test executions that are ready to run. Proactive triggers allow you to initiate test executions in response to CI/CD events, on a manual basis, or according to a predefined schedule. Furthermore, you can set up your system to respond to Kubernetes infrastructure events, like deployments, to automatically launch test executions. With Kubernetes’s inherent scalability, you have the option to increase the number of concurrent test executions to meet demand. You can also take advantage of advanced scaling options to enhance load tests, allowing you to expand from a single execution to as many as 1,000. By parallelizing functional tests, you can significantly reduce the time required for completion. All logs and artifacts generated during the execution of test tools are stored in a centralized repository, making them easily accessible. Moreover, the system includes features for quickly identifying errors by highlighting keywords associated with failures in the logs. In addition, utilizing various filtering options can enhance your ability to sift through logs efficiently, ensuring a smoother debugging process.