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Best software testing insights that help teams organize testing efforts and will put test process through automation on the top of the Quality Assurance

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Network Testing Tools: Types, Features, and Best Practices of Using

Sometimes, an organization has robust software solutions in its ecosystem and high-profile IT professionals to wield them. Yet, the company’s business operations are stalled because of the digital environment’s subpar work, to put it mildly. How can it be? In all likelihood, it happens because of inadequate network performance. Network testing is called to ensure […]
Mykhailo Poliarush
Mykhailo Poliarush
Building Reliable AI Suggestions for QA: From Prompt Chaos to Controlled Workflows
AI testinginsights

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
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