Fast-growing, cloud-based unified testing platform LambdaTest announced the world’s first end-to-end AI software testing agent, KaneAI. It has already succeeded in using natural language for making things easier to create, debug, and evolve end-to-end tests, thereby revolutionizing ways in which teams manage and execute automated testing.
However, automation testing in software development is very essential but often seriously problematic: it lags behind development sprints and requires continuous maintenance due to the fragility of tests. Even low-code/no-code solutions have a lot of shortcomings on their own—difficult learning curves and issues with scaling. Classic automation setups hardly keep up with quickly changing testing requirements.
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KaneAI is the pioneering AI testing assistant, purpose-built for high-velocity quality engineering teams. The powerful tool allows one to write complex test cases in natural language—sharply reducing time and expertise necessary to begin test automation. This natural language capability allows it to open participation in the test creation process across multiple teammates.
It also enables intelligent test planning, AI-driven test healing, and conditional assertions to ensure comprehensive coverage of tests. Unlike any other low-code/no-code traditional platforms that scale very poorly, KaneAI provides the ability to edit tests bi-directionally between code and natural languages. This makes it easier to maintain testing at scale by supporting code exports in multiple languages across major frameworks, along with statement-to-code and code-to-statement translation features.
KaneAI transforms debugging by using real-time AI test observation and deep root cause analysis, saving hours of downtime for large distributed engineering teams and hurrying up release cycles without affecting quality in any way.
Further, KaneAI integrates with existing workflows, supporting a list of popular tools that includes Jira, Slack, GitHub Actions, and Microsoft Teams to provide a meaningful extension to any testing toolkit.
According to Asad Khan, Co-Founder and CEO at LambdaTest, user feedback plays a huge role in creating KaneAI: “Over the past six years, we have been listening to our users and their testing challenges. KaneAI represents the innovative efforts of our team in pushing boundaries of quality engineering. Every element inside KaneAI is designed to solve real-world challenges that testing teams come across and aims to redefine test automation with AI.“.
According to Sandeep Johri, CEO at Checkmarx, “KaneAI personifies LambdaTest’s commitment toward revolutionizing quality engineering. As a two-decade technology leader, I witnessed first-hand how development teams were flustered by the fast pace of change but delivered top-quality products. KaneAI will truly disrupt traditional testing workflows and integrate continuous testing into modern DevOps processes in an automated way.”
With the release of KaneAI, LambdaTest is tightly positioning itself against a holistic end-to-end software quality engineering solution. Other than providing cloud environments for test execution on real devices and browsers, LambdaTest now also offers full-spectrum test planning, creation, execution, analysis, and reporting, augmented by AI-powered insights for a robust approach toward quality assurance.
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