Vitaliy Mikhailyuk

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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Testing LLM Applications
AI testing
LLM Testing Frameworks: Top Tools & Evaluation Strategies
Testing LLM applications differs from traditional software testing in fundamental ways. A chatbot built on large language models produces different outputs for identical inputs. Regression tests that worked yesterday fail today without code changes. QA teams trained on deterministic systems struggle with non-deterministic AI responses. Gartner reports 85% of GenAI projects fail due to inadequate […]
Vitaliy Mikhailyuk
Vitaliy Mikhailyuk
Testing with Testomat.io & Playwright Agents
AI testingInsightstest managementtesting guides
From Manual QA to QA Automation Engineer: A 2026 Guide with Playwright & AI
There’s a particular kind of frustration that lives in the gap between knowing what to test and knowing how to automate it. You’ve written the steps. You understand the logic. You know exactly what the button should do when clicked. But the moment someone mentions TypeScript, page objects, or async/await, the mountain starts looking very […]
Vitaliy Mikhailyuk
Vitaliy Mikhailyuk
chatgpt for test case generation
AIAI testingautomation testingInsights
AI Test Management Solutions vs. ChatGPT: What’s Better for QA Documentation Analysis?
Let’s be real: software testing can be exhausting. While running automated suites is easy, the prep work—analyzing requirements, brainstorming scenarios, and writing test cases—drains hours of engineering time. While general AI tools like ChatGPT help with ad-hoc prompts, modern QA teams increasingly rely on specialized ai test management solutions to bridge the gap between requirements […]
Vitaliy Mikhailyuk
Vitaliy Mikhailyuk
AI-cover
AI testingInsights
AI Prompt Testing Methods: How to Build Reliable QA 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
Vitaliy Mikhailyuk
ChatGPT vs. AI Test Management Platforms
AI testingInsights
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
Vitaliy Mikhailyuk
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