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Generate test artifacts with BrowserStack AI Agents
Learn how BrowserStack AI Agents can transform your Test Management experience.
Test Management uses specialized BrowserStack AI Agents to autonomously manage complex quality assurance tasks. Unlike typical features, these agents are goal-oriented. They analyze the context, make decisions, and execute multi-step workflows to accelerate your testing lifecycle.
This guide outlines the capabilities, workflows, and configuration details for each agent.
- Test case generation using BrowserStack AI is only supported in Team Ultimate plans.
- BrowserStack does not train its AI models on the data you provide.
Generate test cases from prompts, requirement files, Jira issues, Confluence links, and Figma frames.
Generate datasets for data-driven testing and convert dataset rows into separate test cases in a Test Run.
Find exact and semantic duplicates, and merge redundant test cases to maintain repository hygiene.
AI can intelligently suggest new test runs by analyzing existing test runs.
Leverage AI to analyze test failures, identify root causes, and suggest potential fixes.
Leverage AI intelligence to automate your non-automated test cases.
AI-powered Test Management demo
The following video provides a guided walkthrough on utilizing AI-powered Test Management to generate, organize, and execute test cases efficiently.
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