OpenTester FAQs

Question 1

What types of test execution does OpenTester support?

Accepted Answer

OpenTester supports flexible test execution targets, including Command Line Interface (CLI) commands and Web browser automation using Playwright. It also provides AI-assisted DOM analysis for web-based testing scenarios.

Question 2

How does OpenTester integrate with AI agents like Claude Code or Cursor?

Accepted Answer

OpenTester features an MCP-First (Machine Communication Protocol) architecture. This allows AI agents to communicate directly with OpenTester's core functionalities, enabling them to generate DSL test cases, trigger execution, and interpret structured results for an automated workflow.

Question 3

What is OpenTester and its core purpose?

Accepted Answer

OpenTester is an AI-driven end-to-end testing platform designed for AI coding agents. Its core purpose is to automate the entire 'code-test-fix' workflow, enabling agents to generate, execute, and manage test cases seamlessly.

Question 4

Does OpenTester provide a user interface for test management?

Accepted Answer

Yes, OpenTester includes an auxiliary Web UI. This interface allows users to monitor real-time execution progress, debug test cases, view historical reports, and manage projects, serving as a visual observation panel alongside the core MCP functionality for AI agents.

Question 5

What are the key benefits of using OpenTester for test automation?

Accepted Answer

Key benefits include accelerating development cycles through automated code-test-fix workflows, leveraging AI-assisted testing for smarter execution and analysis, unified DSL for consistent test definition, real-time monitoring of test progress, and comprehensive project/test case management.

OpenTester

OpenTester

주요 기능

사용 사례

주요 기능

사용 사례