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MAIN TRACK TALK

AI Meets API: Transforming Automated Testing Processes

A few months ago, Adha’s colleague reached out to her with an interesting challenge. He had been developing a robust API test automation framework but was facing a familiar bottleneck: the process of manually writing test cases from an OpenAPI specification was time-consuming, repetitive, and prone to human error. Despite the framework’s capabilities, generating comprehensive test coverage still required significant effort and domain knowledge. So everything started from there.

This talk explores an AI-driven approach to API testing: building structured test models from business goals and OpenAPI specs and turning them into executable code. Attendees will learn how to transition from manual test writing to optimising AI-generated tests for greater speed, reliability, and software quality.


What you’ll learn


Structured Models: AI generates clear, structured test models.


Templated Code: Models are transformed into robust, executable tests. New Paradigm: Shift from manual coding to strategic test review.

Session details

Track 1

15:15h - 16:00h · May 27th

40 mins + 5 mins Q&A

AI + API Testing

General Level

Session in English, translated to Spanish

adha_hrusto

Adha Hrusto

Adha Hrusto is an AI Engineer with a PhD in Computer Science, specialising in applying ML and GenAI to enhance software quality. Her experience spans research and industry, including the development of agentic AI chatbots and AI-driven test automation frameworks. Her doctoral research focused on anomaly detection in DevOps, as part of Sweden’s largest research initiative (WASP). Adha has turned cutting-edge research into impactful real-world solutions, working closely with clients and sharing her results through publications and presentations at international conferences.

johan_pearson

Johan Pearson

Johan is a senior QA Automation Engineer with over 15 years of experience working as a consultant, architect, and lead across complex systems and diverse technology stacks. his background is strongly rooted in backend and API testing, test automation architecture, and CI/CD-driven quality strategies. Johan has led automation initiatives in large-scale environments within energy, retail, and enterprise platforms, working closely with developers and product teams to improve reliability and delivery speed. Alongside client assignments, he has also driven innovation initiatives, exploring scalable automation approaches and emerging technologies to improve how teams design, build, and maintain automated tests.