29/05/2026
๐ค ๐๐ข๐ฅ๐ฅ ๐๐ ๐๐ฑ๐ฉ๐จ๐ฌ๐ ๐๐๐๐ค ๐๐ ๐๐๐๐จ๐ซ๐ ๐๐ฅ๐๐ฒ๐๐ซ๐ฌ ๐๐จ?
AI is quickly becoming part of modern quality engineering. In the World Quality Report 2025โ26, Generative AI was ranked as the top skill for quality engineers, cited by 63% of respondents. At the same time, Stack Overflowโs 2025 Developer Survey found that more developers distrust AI tool accuracy than trust it.
As AI becomes more common in testing workflows, QA teams need to look beyond speed. They also need to check whether AI-generated outputs are accurate, reliable, and safe to use.
Traditional QA still plays a critical role in reviewing:
๐น Requirements and test coverage
๐น Meaningful test case design
๐น Edge cases and unexpected user paths
๐น Defect reproduction and reporting
๐น Risk, context, and user impact
๐ฎ In game testing, these skills become even more important. AI can support test generation, bug detection, repetitive checks, and automated reporting. Still, real player experience depends on contextual judgment, exploratory testing, and release decisions that AI cannot fully make on its own.
The future of QA is becoming human-led and AI-assisted
โ๏ธ Explore this post to see where traditional QA skills still matter in an AI-first testing world.
๐ If youโre building game release workflows with AI-supported testing, explore LQAโs Game Testing services: https://na2.hubs.ly/H05Q25Z0
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Lotus Quality Assurance - Towards Perfection
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