Vitaliy Mikhailyuk

With 7+ years in IT, Vitaliy Mikhailyuk has progressed from QA roles to Team Lead and now works as a Prompt Engineer at Testomat.io. He started his career in 2017, launching his YouTube channel in 2022 to explore AI’s capabilities, particularly ChatGPT.
In 2023, he joined Testomat.io, focusing on AI solutions and LLM prompt development. After completing AI courses in 2024, he created a custom Prompt Framework to optimize AI-driven testing and integrate LLMs. Vitaliy continues to advance AI methodologies, contributing to Testomat.io’s growth in AI testing.

Today, Vitaliy is focused on researching advanced AI frameworks such as RACE and RICCE, and has developed a custom Prompt Framework at Testomat.io to optimize AI-driven testing and LLM performance.

Vitaliy’s career is defined by continuous growth, expertise in QA, and a forward-thinking approach to AI technologies.

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AI testing insights

Building Reliable AI Suggestions for QA: From Prompt Chaos to Controlled Workflows

In our previous article on the topic “ChatGPT vs. AI Test Management Platforms”, we explored the fundamental differences between using general-purpose AI assistants like ChatGPT versus AI-native QA management systems like Testomat.io. While LLMs offer remarkable flexibility, they often fall short when applied to structured, domain-heavy use cases like software testing. A key challenge we […]

Vitaliy Mikhailyuk

Sep 19, 25

AI testing insights

ChatGPT vs. AI Test Management Platforms: What’s Better for QA Documentation Analysis?

Modern software quality assurance (QA) processes demand speed, accuracy, and consistency. With the introduction of generative AI technologies such as ChatGPT, the potential for automating and enhancing QA tasks has grown exponentially. However, while ChatGPT and similar AI assistants offer general-purpose intelligence, specialized test management systems provide domain-specific solutions with deeply integrated AI workflows.

Vitaliy Mikhailyuk

Sep 05, 25