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AI Accelerates Creation. Confidence Must Keep Up.

When delivery moves this fast, confidence can’t be an afterthought. Hyper-Agile Quality Engineering™ builds it in from the start.

Hyper-Agile Testing by Evgeny Tkachenko, forthcoming from Apress.

Hyper-Agile Testing

by Evgeny Tkachenko

Forthcoming from Apress — available for preorder on Amazon

Hyper-Agile Quality Engineering™

Hyper-Agile Quality Engineering™ is a risk-based operating model for building confidence continuously as AI-assisted delivery compresses the path from idea to release. It carries quality context forward, matches validation depth to risk, and turns production learning into better decisions in the next cycle.

Read the full framework →
  1. 01

    Risk-Based Validation Depth

    Validation depth adapts to risk, reach, release stage, and potential impact.

  2. 02

    Continuous Quality Signals

    Confidence grows through connected evidence from product intent to production.

  3. 03

    Enabled Ownership

    Reusable quality context enables the right people to act while decisions are still changeable.

  4. 04

    Informed Confidence

    Release decisions make validated behavior, remaining uncertainty, and accepted risk visible.

The pillars work as one system. Risk-Based Validation Depth determines how much rigor the change needs. Continuous Quality Signals accumulate the evidence. Enabled Ownership puts that context in the hands of people who can still change the work. Informed Confidence is the resulting ability to make and explain the release decision.

Quality Knowledge Should Move With the Work

Quality knowledge shouldn’t reset at every handoff. The Hyper-Agile Quality Loop keeps ten connected activities moving from product intent to production learning.

The activities stay connected. The depth changes with risk.

Explore the Quality Loop →

Praise for Hyper-Agile Testing

  • “This is a great book—so many important things that need to be said now. The personal stories that illustrate every chapter really bring the message home.”
    Dorothy Graham

    Award-winning software testing author

  • “This book provides a timely framework for leaders navigating AI-enabled transformation—connecting the speed of modern delivery with the governance, quality discipline, and shared ownership required for sustainable change.”
    Markus Schmitt

    BPE / PMO – Digital Finance Transformation, Siemens Healthineers

Evgeny Tkachenko

Evgeny Tkachenko

Founder, Carunel LLC

About Evgeny →

2026 Speaker

Appearances include EuroSTAR Conference, EuroSTAR Global Series, and Software Quality Summit Raleigh.

View Speaking Engagements →

The Book

Publisher:
Apress
ISBN:
9798868832307
Format:
Paperback, Digital
Status:
Forthcoming in 2026
More about the book →

Move Faster by Building Confidence Earlier

View on AmazonExplore the Operating Model