Topic:AI
Answer:
Not in the near future. AI helps generate test cases and autotests, but exploratory testing, business context, and creative scenarios stay with humans.
AI is changing QA work, but not replacing it — that's the consensus in the Polish market 2026. What AI speeds up in QA work: - Test case generation from user stories - Writing autotests (Playwright AI-generator, Cursor, ChatGPT) - Log analysis for errors - Regression testing — automated repeatable-scenario coverage What AI still doesn't do well: - Exploratory testing — creative, unstructured bug-finding - Business-context awareness — what matters to the user - Creative edge-case scenarios - UX evaluation — whether the product is intuitive - Security nuances — security testing Trend 2026: QA engineers who use AI effectively become 2–3× more productive — and those are exactly who employers seek. At Mate academy we teach the current stack including AI-tools (source: NoFluffJobs 2026; Mate academy data 2026).
What we teach

4+ months
Dig into data to uncover trends and hidden insights, and help businesses make smarter decisions.

4+ months
Hunts down software bugs before they cause trouble, ensuring every user enjoys a flawless and enjoyable experience.

4+ months
Writes powerful Python code to build apps and automate boring tasks, helping users do a lot more in less time.

5+ months
Builds the visible part of websites and apps, ensuring every click and scroll feels smooth and visually impressive.

4+ months
Creates rock-solid Java applications that deliver reliable, high-performance solutions across a variety of industries.

5+ months
Develops both the front and back end of web apps, creating a smooth and high-quality experience that users love.

3+ months
Create automated tests to quickly detect bugs and verify software quality.

3+ months
Analyzes the audience, launches advertising campaigns, and optimizes traffic to increase brand awareness and drive sales.
Our values
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