We are pleased to announce Predrag Skokovic as a tutorial speaker at SEETEST 2026!

Predrag Skokovic is a seasoned software developer and tester with over two decades of experience leading development teams. He holds a degree in Computer Science from the University of Novi Sad, where he also worked as a demonstrator. Throughout his career, Predrag has built a proven track record of delivering international projects while promoting early software testing practices, with expertise spanning industries such as medicine, petrochemistry, finance, and banking.

Predrag is recognized for his contributions to the field of software testing. He is a regular speaker at international conferences, a guest lecturer at the University of Novi Sad, a member of the South East European Testing Board (SEETB), an accredited ISTQB trainer, and a professional consultant. He co-founded and served as president of the Board of Test'RS Club, a community of professional software testers, and co-founded Quality House in Serbia, where he currently holds the position of managing director.

Tutorial: Beyond "Generate Test Cases": From Prompts to Agentic Testing Workflows

Many testers have already tried using AI to generate test cases, automate scripts, review requirements, or explain failures. The first results often look impressive, but trust quickly becomes a problem when the AI invents behavior, produces generic tests, suggests brittle automation, or explains a CI failure with confidence but without evidence.

This half-day tutorial, taking place on the first day of the conference, is designed for testers, test automation engineers, QA leads, and quality engineers who want to use AI in real testing work without losing control of context, risk, evidence, and human judgment. Rather than treating AI as a one-shot answer machine, the session explores how to design structured AI-assisted testing workflows. Through a realistic product team scenario, participants will move from weak prompts to reusable prompt chains, and then from prompt chains to controlled agentic loops where AI can help observe, reason, propose actions, evaluate results, and revise, while testers remain responsible for decisions.

Practical examples covered include requirement analysis, risk-based test design, test automation review, flaky test investigation, and CI failure triage. Participants will examine where AI helps, where it misleads, and what guardrails are needed to avoid hallucinated requirements, over-generated tests, weak assertions, brittle automation, and false confidence.

Why attend:

This tutorial is for anyone who has already seen AI produce impressive testing output but was not sure how much of it could be trusted. Rather than collecting clever prompts, the session focuses on designing practical AI-assisted testing workflows that make context, risk, evidence, uncertainty, and human judgment explicit. No specific automation framework or tool stack is required - the exercises are scenario-based and apply whether participants work with UI automation, API testing, exploratory testing, CI pipelines, or broader quality engineering practices.

Join us on October 6-7 in Ljubljana, Slovenia, or online. Early Bird registration, offering a 20% discount, has been extended through July 31 - don't miss it and get your tickets HERE