No code, no locators: An autonomous AI web automation framework based on LLM+CV+AI agent for E2E testing that cuts QA costs by 10x and lets you fully automate your website testing in minutes instead of months.
No reviews yetBe the first to leave a review for AI QA Systems
Maker
📌
Hi Product Hunt! I'm Angelina, founder of AI QA Systems. Like other QA automation professionals, I stubbornly created code for automated tests and locators, then spent hours daily maintaining them. At one point, I realized I'd had enough! After a year of developing an AI web automation framework, I'm excited to share a solution that finally uses computer vision instead of fragile locators and doesn't require a single line of code when creating tests. It combines test generation and execution, all within a single AI-powered interface, in just a few clicks, instead of months of work. No more maintenance hell. I'd love to hear your feedback!"
Report
Autonomous self-healing is a goldmine, but tell me, how robust is your encryption when these agents crawl through sensitive staging environments filled with raw user data?
Report
Maker
@wolfffff Hello, in response to your question, the solution will run within your CI/CD environment, optionally on locally deployed LLM models. The solution can technically be run on all popular LLM providers or on locally deployed models within the company. Also, to ensure secure handling of sensitive data such as credentials, your crypto wallet data, and other information, there is a special string, 'SensitiveData', through which you can securely transmit this data for testing. This data will not be sent to LLM.
Autonomous self-healing is a goldmine, but tell me, how robust is your encryption when these agents crawl through sensitive staging environments filled with raw user data?
@wolfffff Hello, in response to your question, the solution will run within your CI/CD environment, optionally on locally deployed LLM models. The solution can technically be run on all popular LLM providers or on locally deployed models within the company. Also, to ensure secure handling of sensitive data such as credentials, your crypto wallet data, and other information, there is a special string, 'SensitiveData', through which you can securely transmit this data for testing. This data will not be sent to LLM.