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World Congress 2026 Europe - Virtual Stage • Jul 2, 2026 • Session details

AI as a Test Designer: Transforming Experience into Automated Testing

Alisa Hrustic

Why guess edge cases when real users already show you how apps break? Learn how to let AI transform production logs into reliable, automated test scenarios.

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#1 about 3 min

The evolution of software testing using artificial intelligence

Replacing manual testing intuition with artificial intelligence allows teams to capture practical user behaviors.

#2 about 3 min

The shifting mindset of modern quality assurance engineers

Modern test engineers must adopt a collaborative builder mindset to maximize emerging automated intelligence tools.

#3 about 3 min

Unpredictable user behavior challenges in traditional software testing

Unexpected end-user navigation patterns frequently expose the critical limitations of predefined traditional software test requirements.

#4 about 3 min

Building an automated workflow for AI-driven test generation

Translating unstructured application logs into realistic software test scenarios requires a pipeline structured for AI interpretation.

#5 about 2 min

Collecting user flow data across multiple application layers

Aggregating application events across frontend components and backend services isolates errors while rendering a comprehensive user journey.

#6 about 2 min

Processing and structuring noisy application logs for LLMs

Normalizing noisy and fragmented application logs accurately transforms disconnected events into an analyzable sequential data narrative.

#7 about 4 min

Generating structured test cases using intentional prompt engineering

Structuring prompts with specific formatting parameters guarantees that generated QA assets translate directly into JSON or Gherkin files.

#8 about 9 min

Validating test cases using the LLM judge concept

Deploying a secondary LLM model evaluates newly generated test scenarios for quality and relevance against baseline usage patterns.

#9 about 3 min

Integrating generated tests into quality assurance pipeline frameworks

Standardized test outputs easily integrate into existing organizational frameworks and legacy management platforms to streamline regression testing.

#10 about 2 min

The future landscape of artificial intelligence in software testing

Embracing automated intelligence allows modern engineers to focus firmly on validating systems rather than manually authoring test procedures.

Matching moments

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Automating complete quality assurance pipelines with artificial intelligence

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Integrating AI tools into the development process

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1:30 min

Integrating artificial intelligence into software testing and requirement engineering

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Enforcing behavioral testing patterns in AI development tools

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Elevating the QA engineering role for complex challenges

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