LambdaTest has launched KaneAI end-to-end software AI Test Agent. Its approach to author, debug, and evolve end-to-end tests using natural language aims to revolutionize the way teams create, manage, and execute automated tests.
KaneAI by LambdaTest is an AI Test Assistant with AI features like test authoring, management and debugging capabilities built from the ground up for high-speed Quality Engineering teams. KaneAI enables users to create and evolve complex test cases using natural language, significantly reducing the time and expertise required to get started with test automation. Since the tests are using Natural Language, it also provides an opportunity for different personnel to participate in the test-case creation process.
Combined with built-in features like intelligent test planning, AI-Powered test healing, and advanced conditional assertions, KaneAI supports complex workflows and ensures comprehensive test coverage. Unlike traditional low-code/no-code solutions that hit scalability limits, KaneAI provides two-way test editing features, that enable users to either author in code or in Natural Language. In addition, it allows multi-language code export across all major frameworks along with unique Instruction-to-Code and Code-to-Instruction translation features. This enables effortless maintenance of tests for scale and ensures that even the most intricate testing needs are met.
KaneAI also revolutionizes the debugging process with its AI-powered test observability and real-time RCA (Root Cause Analysis) capabilities. This helps large-scale distributed engineering teams minimize application downtime and accelerate release cycles, without compromising on the product quality.
Further KaneAI integrates seamlessly with existing workflows, supporting popular tools such as Jira, Slack, GitHub Actions, and Microsoft Teams, making it an invaluable addition to any testing toolkit.