Reclaiming Testing's Intellectual Core with Agentic Quality Engineering
The software testing profession has been around for approximately 70 years, yet nothing has fundamentally transformed it to deliver on what it was always capable of. Industry data shows that almost 70% of testing capacity is spent on testing-related activities — documentation, reporting, maintenance, coordination — while only 30% goes toward actual testing that creates real value: asking the right questions, evaluating risk, exploring the unknown, and informing decisions.
Organizations have been trying to automate away all things testing for decades. It never worked because the real value of testing comes from its intellectual core — critical evaluation, risk analysis, deep exploration, and informed decision-making. But mastering this craft requires years of investment that organizations see as overhead.
This hands-on workshop introduces Agentic Quality Engineering — a fundamentally different approach that gives every tester access to expert-level thinking without years of investment. Built on 47 years of combined practitioner experience and the award-winning QCSD framework, attendees will work with AI agents encoding context-driven approaches, risk-based thinking, and deep exploration techniques into 70+ specialised skills and 60+ purpose-built agents.
Attendees will configure and run multi-agent pipelines spanning the full SDLC, evaluate agentic systems using the PACT framework, and leave with a fully configured open-source environment under MIT licence — nothing held back.