KaneAI is LambdaTest’s GenAI native testing agent that plans, authors, and evolves end to end tests from natural language. It validates UI, APIs, databases, accessibility, and network behavior in a single flow, generating resilient, modular cases that adapt to real apps. With human in the loop approvals, custom environments, and step level control, teams ship reliable tests faster across browsers, OSs, and real devices using HyperExecute. This keeps flows reliable even when selectors shift or APIs change rapidly. Logs and exports document steps, inputs, and outcomes for audit and review.
Author a complete scenario in plain English and let KaneAI span layers: interact with the interface, validate APIs alongside UI steps, compare screens for visual drift, inspect network payloads, and plug into databases to seed or verify records. Coverage moves from single channel checks to cohesive, realistic flows that mirror user journeys and backend effects in one strategy. Reusable modules reduce maintenance while preserving intent across projects.
Record interactions and convert them into reusable steps, then review the plan before runs. Use approvals to confirm intent, define failure behavior at each step, and set target regions or local builds. This control keeps speed without losing judgment, letting teams guide the agent, protect critical paths, and align tests with release risk and compliance needs. Schedules and triggers coordinate recurring runs and environment coverage.
KaneAI builds tests from smart components that adapt to environments. It can dismiss popups, generate test data, and keep input handling robust as layouts change. Reusable modules shorten authoring for similar flows, reduce duplication, and preserve business intent so maintenance declines while confidence rises across projects. Usage visibility and limits help teams manage cost and throughput clearly.
Keep work in one flow by creating native test cases in Jira or Azure DevOps via the LambdaTest app. Raise bugs with relevant context, link to runs, and route owners automatically. With connected authoring and issue tracking, triage accelerates, evidence stays attached, and teams avoid copy paste between tools during busy releases. Notes and approvals explain why plans were adjusted before production runs.
Run generated tests across thousands of browser and device combinations with flexible schedules. Parallelize on HyperExecute, slice by environment, and analyze detailed reports. Enterprise features like SSO, RBAC, audit logs, and compliance controls meet governance needs while SLA backed infrastructure delivers consistent performance. Dashboards surface reliability, latency, and pass rates to tune pipelines.
QA engineers, SDETs, and developers maintaining E2E coverage; teams expanding beyond UI checks to include API, network, database, and accessibility; organizations standardizing natural language authoring with human approvals; and leaders who need integrations, HyperExecute scale, and enterprise governance to keep quality high without slowing delivery. Connections sync with Jira and Azure DevOps to keep tickets and owners aligned.
Traditional test stacks split UI, API, and data checks across tools, increasing setup and drift. KaneAI unifies planning, authoring, and execution: one agent turns natural language into resilient, modular tests, runs them across environments on HyperExecute, and links results to tickets. Teams cut maintenance, improve coverage, and keep audits and releases aligned even as apps evolve. Dashboards surface reliability, latency, and pass rates to tune pipelines.
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