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QAForge: Your AI QA Team

AI-assisted QA. Engineer-led.
Explore the agents, review the artifacts, and stay in control—from story analysis to test automation. Built by MD Rasul.

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MD Rasul, creator of QAForge and Senior SDET
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Meet MD Rasul

I’m MD Rasul—a Senior SDET, test automation engineer, and creator of QAForge. My experience spans web, mobile, API, and data validation, using tools such as Java, Selenium, Appium, RestAssured, SQL, and CI/CD pipelines.

I built QAForge to explore a more structured way to use AI in everyday QA engineering. Specialized agents support the work; engineers review the evidence and approve what happens next.

My focus today is sharing the project, practical demos, and lessons learned with the QA community—not offering paid training programs.

Build. Learn. Share.

Join the QAForge journey through practical demos, reusable examples, and honest lessons about agentic AI. Have feedback, a question, or an idea for a future demo? Send me a message on WhatsApp.

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One Story. A Coordinated QA Workflow.

Understand & Prepare

Give the Manager your story and approved project context. Review the analysis, acceptance-criteria coverage, test cases, and test data before moving forward.

Validate & Collect Evidence

Use configured, company-approved tools to support UI, API, and data checks. Inspect the findings, supporting evidence, and gaps instead of trusting a summary alone.

Automate & Report

Review generated automation and reports, run the tests, and check the results. Keep artifacts traceable to the story, with approval checkpoints before the next step.

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