Turn Your IDE Into an AI-Powered QA Workspace

See how an AI coding agent inside the IDE can use MCP to reach beyond the local codebase and work with engineering context from systems such as GitHub, Jira, specifications, and testing tools. Instead of repeatedly copying information between tabs, bring the context to the agent.

A requirement tells you what should happen. Code and technical specifications tell you how the system behaves. Watch the agent combine these different sources to understand what needs testing and derive more relevant scenarios.

Use that combined context to generate test scenarios and turn them into executable automation directly alongside the code. In the live example, attendees will see this applied to API testing, but the bigger takeaway is how to build a repeatable, context-aware AI testing workflow.

See how BrowserStack Test Companion takes this IDE-first approach further by bringing project-aware testing assistance into your day-to-day workflow. Use it to understand existing tests, work within your project’s framework and conventions, investigate failures, and continuously improve coverage, without rebuilding the context every time.