LambdaTest, a leading, cloud-based, unified testing platform, is debuting KaneAI, an end-to-end software AI Test Assistant designed to help users author, debug, and evolve complex test cases through natural language.
Bringing innovation to the often brittle, challenging world of test automation, KaneAI is purpose-built for quality engineering teams, delivering a robust, democratized, and integrated approach to quality assurance, according to LambdaTest.
“We believe quality is everyone's responsibility and any stakeholder should be able to run tests without any learning barrier,” said Asad Khan, co-founder and CEO at LambdaTest. “This is why we came up with KaneAI, the intelligent test assistant that can let you build tests and even debug complex workflows using natural language. By letting teams create and manage tests with simple language, we’re breaking down the barriers that have made automation feel out of reach for so many.”
KaneAI enables users to author in code or natural language, additionally offering multi-language code export across all major frameworks for seamless test maintenance. With AI-powered test observability and real-time root cause analysis (RCA) capabilities, KaneAI improves the debugging processes by minimizing application downtime and accelerating release cycles—without sacrificing product quality, according to LambdaTest.
Meeting quality engineers where they are in their workflows, KaneAI integrates with a variety of popular tools, including Jira, Slack, GitHub Actions, and Microsoft Teams. With the introduction of KaneAI, LambdaTest now supports all functions—from test planning to authoring, execution, analysis, and reporting—as well as provides cloud environments for test execution.
To learn more about KaneAI, please visit https://www.lambdatest.com/.