California-based LambdaTest, renowned for enabling enterprises to test their applications across various platforms, is entering the AI sector with the introduction of KaneAI. This innovative solution offers an intuitive experience for end-to-end software testing and quality assurance.
Currently available to select partners as an extension of the LambdaTest platform, KaneAI empowers users to create, execute, debug, and improve automated tests solely using natural language.
This represents a significant upgrade for the six-year-old company, simplifying the testing process by eliminating the complexities of traditional coding and low-code workflows.
Asad Khan, co-founder and CEO of LambdaTest, stated, “The engineering and product teams pushed the boundaries of quality engineering, ensuring KaneAI meets the real-world challenges that testing teams encounter daily. This journey involved developing an AI-powered test agent to redefine test automation.”
What to Expect from KaneAI?
Since its launch in 2017, LambdaTest has established itself as a leader in quality assurance by providing a unified cloud platform for cross-browser testing. Users can easily conduct automated or manual tests across thousands of browser and OS configurations on both desktop and mobile.
“The cloud-based platform enables users to run tests up to 70% faster than other infrastructures. This not only cuts costs but also enhances efficiency, scalability, and performance for large-scale quality assurance workflows,” Khan added.
As organizations increasingly adopted LambdaTest, it became clear that a unified platform for test automation alone wasn’t sufficient. The need for a more intuitive approach emerged, moving beyond the complexities of custom test script writing or low-code solutions, which often struggle at scale.
This led to the development of KaneAI, leveraging generative AI to facilitate seamless end-to-end test automation—from writing and executing tests to reporting and debugging, all with minimal user effort.
With this AI agent, QA teams can input test steps in natural language (e.g., searching for hotels in a specific city during a certain timeframe). As the steps are executed, KaneAI analyzes and carries them out sequentially in a cloud browser. For more complex tasks, users can utilize an interactive mode, allowing the AI agent to record and translate their actions into text.
Once executed, the complete test case can be integrated into LambdaTest’s test manager, enabling users to generate the corresponding test code in their preferred language and framework. This code can then be run on the HyperExecute cloud, which efficiently organizes and distributes tests based on historical run data. Additionally, KaneAI integrates with LambdaTest’s tools, offering detailed insights into automated tests, including reports, metadata, and debugging features.
Behind the scenes, KaneAI harnesses OpenAI’s models alongside LambdaTest’s proprietary training to provide a sophisticated testing experience.
“We are leveraging data from billions of tests executed on our platform to create seamless end-to-end test features, including dynamic two-way test creation,” Khan noted.
Simplifying the Testing Process
While several generative AI-powered coding tools exist, such as Cognition’s Devin, KaneAI stands out by offering a comprehensive testing journey within a single platform.
“One major reason for developing KaneAI was the lack of holistic testing experiences in existing tools. Even with current AI-driven code generation capabilities, managing the full cycle of testing—CI/CD integration, report generation, test analysis, and debugging—often requires juggling multiple tools, adding significant complexity,” Khan explained.
KaneAI is currently in beta testing with select customers and industry experts, with plans for broader accessibility over the coming months.
“There are many use cases yet to be explored. We are actively adding more integrations to the platform, enabling users to run tests directly from platforms like Slack and Microsoft Teams,” Khan mentioned. This natural-language approach will also engage business stakeholders more deeply in the testing process.
To date, over 10,000 organizations, including Nvidia, Vimeo, Microsoft, and Rubrik, utilize LambdaTest, performing millions of tests daily. However, competition remains fierce, with other players like BrowserStack, Sauce Labs, and open-source Testsigma in the market.
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