AI Test Case Generator for QA Teams

How Does the AI Test Case Generator Work?

QAMind sends the browser recording to a Qwen 3 Coder 30B model running locally on Ollama. The model parses the recorded event sequence and produces structured test cases. Each test case includes numbered steps, expected results, and a priority level.

The generator accepts recordings from the QAMind Chrome extension. The extension captures 4 event types: click events, input values, navigation actions, and assertion points. The captured session arrives in the browser recording inbox as a structured JSON object stored in your workspace.

What is a browser recording in QAMind?

A browser recording is a captured user session from the QAMind Chrome extension. The extension records every user action in a browser session, including clicks, form inputs, page navigation, and assertion checkpoints. The recording arrives in the QAMind inbox as a structured event sequence ready for AI processing.

Generation steps:

1. 01Record a browser session using the QAMind Chrome extension.
2. 02Open the recording inbox and select the recording to convert.
3. 03Click "Convert to Test Cases" to start AI generation.
4. 04Wait 3 to 8 minutes for generation to complete.
5. 05Review, edit, or discard test cases in the generated suite.
6. 06Approve the suite to mark test cases ready for execution.

What Does the AI Test Case Generator Produce?

Each generated test case includes a title, numbered steps, expected results, and a priority level. The generator groups related test cases into a named suite. The suite appears in your project alongside manually-created suites.

Generated test cases carry an initial author status of "draft." QA engineers review each case, promote it to "ready," and then approve it for execution. The draft-ready-approved workflow keeps AI output under human control.

How Fast Is AI Test Case Generation?

QAMind generates test cases in 3 to 8 minutes per browser recording. Generation time depends on recording length and the number of distinct user actions captured. The AI worker processes one recording at a time on the GPU slot.

Manual test case writing for a login flow, checkout sequence, or form validation feature takes a QA engineer 2 to 4 hours. QAMind processes the same recorded session in under 8 minutes.

The generator handles 3 input sources: browser recordings from the Chrome extension, pasted requirement documents, and plain-text feature descriptions. All 3 sources route to the same local Qwen 3 model.

What Makes QAMind Different from Cloud AI Test Generators?

Need generation to stay in-house? QAMind ships a self-hosted mode. Run it and your browser recordings, requirement documents and test data are processed by local models inside your own infrastructure instead of cloud AI services.

Every competitor in the test management market routes AI features through cloud-hosted models. This includes TestRail, Qase, Zephyr, and TestQuality. QAMind uses Qwen 3 Coder 30B running on Ollama, installed on the user's own GPU workstation.

Teams handling proprietary product specs, confidential feature descriptions, or compliance-sensitive test data choose QAMind because the data residency guarantee is architectural, not contractual.

How Does Test Case Generation Connect to Playwright Automation?

Generated test cases move directly into the Playwright script generator. QAMind's MCP server on port 3100 converts approved test cases into executable .spec.ts files. QA teams go from browser recording to running Playwright test without writing code.

The Playwright test generator groups test cases by shared prerequisites and produces merged spec files. The browser recording workflow describes how to capture sessions from the Chrome extension.

Frequently Asked Questions