Hyper-Agile Testing

Overview

Hyper-Agile Testing follows quality from product intent through production learning. It presents a connected approach to risk-based validation, trustworthy automation and CI/CD, AI-augmented Quality Engineering, release readiness, prototypes and early-access releases, collaborative ownership, meaningful metrics, and organizational transformation.

Who it’s for

• Quality Engineers and QA/QE leaders
• Directors and VPs of Engineering
• Engineering Managers
• Product leaders
• CTOs and technology executives
• AI engineering and AI-enabled delivery teams

What you’ll learn

• Apply the Hyper-Agile Quality Loop from product intent through production learning.
• Match validation depth to risk, release stage, and customer impact.
• Build trustworthy automation and CI/CD signals that support release decisions.
• Use AI responsibly for requirements review, test design and automation, change-impact analysis, release readiness, and defect triage.

Major themes

• Risk-based validation and how validation depth should adapt to reach and impact
• Trustworthy automation and CI/CD as a source of release-time confidence
• AI-augmented Quality Engineering, used alongside informed human judgment
• Release readiness as a visible, informed decision rather than a gate
• Prototypes, pilots, and early-access releases as part of the validation lifecycle
• Collaborative ownership of quality across Product, Engineering, and Quality Engineering
• Meaningful quality metrics and connected quality signals
• Organizational transformation toward a risk-based, AI-accelerated operating model