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Description

AegisRunner is an advanced cloud-based platform utilizing AI for autonomous regression testing specifically designed for web applications. By integrating a smart web crawler with AI-driven test generation, it completely removes the need for manual test creation. The platform operates with a simple input of a URL and autonomously performs several robust functions: It uses a headless Chromium browser (Playwright) to thoroughly crawl the entire web application, identifying every page, interactive component, form, modal, dropdown, accordion, carousel, and any dynamic states present. Furthermore, AegisRunner constructs a state graph of the application, representing each unique DOM state as a node and each user interaction—such as clicking, hovering, scrolling, submitting forms, and pagination—as a connecting edge. Using the crawl data, it employs AI to generate comprehensive Playwright test suites (compatible with OpenRouter, OpenAI, and Anthropic models), eliminating the need for any manual test writing. After generating the tests, it runs them and provides a detailed report on pass/fail results, including in-depth reports for each test case, accompanied by screenshots and traces. Remarkably, it boasts a 92.5% pass rate across over 25,000 automatically generated tests, showcasing its effectiveness and reliability in streamlining the testing process for developers and organizations alike.

Description

Tesults offers a robust online reporting dashboard designed for software engineering teams, equipped with comprehensive analysis tools. It allows users to review test results and assess the status of essential systems. Gain insights into the testing process, enhancing visibility for stakeholders while clarifying the automated tests executed within your infrastructure. The platform enables the storage of test results, logs, screenshots, and files, allowing for test data submission from any location. With its easy maintenance, security features, and scalability, you can confidently release updates and streamline the automated regression analysis process. Users can focus on changes observed between test executions and swiftly pinpoint when issues arise, with the added benefit of automatic detection of unreliable tests. Furthermore, it supports uptime maintenance and efficient monitoring of vital production test jobs, complete with notifications and alerts. To mitigate notification overload, it intelligently associates specific test failures with relevant teams. In addition, it facilitates system health monitoring and seamlessly integrates with existing tools to enhance overall workflow efficiency.