Testing the Untestable with Gen AI

Since we met last year at PNSQC, we've seen a tremendous shift in how software is built and tested using AI. Generative AI has transformed every part of our lives - software testing is no exception. Organizations, government agencies, banks, and other institutions now use AI and LLMs (large language models) to accelerate growth.

Software is more advanced than ever, but are your QA tools equipped to test the powerful app features you're building? Is your automation framework intelligent enough to learn, adapt, and self-heal?

Today, AI agents in testing can help test features previously considered untestable. In this talk, we'll explore how intelligent codeless tools (human emulators) can test graphs (progression/regression), diagrams, image content, user intent, true/false statements, sentiment, Flutter apps, mainframes, chatbots, and more - using plain English. These scenarios weren't possible with traditional or even next-gen automation tools. Artem will explain how automation of all these cases is now possible with natural language and self-healing scripts.

AI agents are helping us build scalable test automation - faster, smarter, and with minimal maintenance. We'll explore how gen AI-based testing can help your organization innovate, transform, and grow with modern tech.

Paper | Presentation

Artem Golubev

Artem Golubev is co-founder and CEO of testRigor, a YC company. He is passionate about using generative AI to help companies become more effective in QA and deliver software faster. He started his career 25 years ago by building software for logistics companies. During his stint, he worked at companies like Microsoft and Salesforce, where he learned about QA best practices and top technologies.

He witnessed the struggle with building test automation, especially test maintenance, at almost any company he worked for. This became the powerful vision behind testRigor. Currently, testRigor's AI empowers companies like Netflix, Cisco, Burger King, and many more to build test automation faster and spend significantly less time on test maintenance by employing advanced Generative AI capabilities.