(In Person) AI in Testing at Quantium Engineering
Details
For our first in-person event of 2026, Quantium, the AI Analytics firm, will be doing talks about how they use AI in QA and testing workflows along with their in-house tooling and frameworks for code and LLM validation.
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1. How Quantium Engineering is using AI to support the testing workflow (real-world examples of tools we developed and actually use). Preflight - our Claude Code plugin that validates implementation against acceptance criteria in Jira | QAcker: Visual Studio Code Plugin for test generation, test composition analysis and testing recommendation
2. Quantium's LLM Validation Framework (+ real world examples)
- and an external lightning talk speaker...
3. From Scripts to Intelligence: AI‑Driven Test Automation for Modern Applications by Raghavender Reddy (USA)
Traditional test automation was built for predictable software, where the same input always produced the same output. Modern AI‑powered applications don’t behave that way. Large language models and agentic workflows make decisions, adapt at runtime, and follow different paths to reach an outcome, breaking conventional script‑based testing.
This talk explains how test automation is evolving from scripts to intelligent, AI‑driven evaluation. It introduces dataset‑based testing, automated scoring, and trace‑level validation to assess not just results, but how systems reason and act. Attendees will learn how these approaches fit into CI/CD pipelines to deliver reliable, scalable quality for modern AI applications.
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We will also be running a quiz with a free ticket on offer for the TestingMind Sydney conference on May 22nd, along with our usual opportunities for catering and job announcements! Not to be missed!