
AI in Testing 2026: Tool, Colleague, Test Object
AI writes tests, explores apps and generates test data. And it becomes a test object itself. Five fields that really matter for testing with GenAI in 2026.
Thoughts and insights on software testing, quality assurance, and the future of technology.

AI writes tests, explores apps and generates test data. And it becomes a test object itself. Five fields that really matter for testing with GenAI in 2026.

Failure is not a state, it is a decision. What an improv lesson teaches about quitting, sticking with it, and three small questions that help.

AI is doing our old job faster, like a horse with more horsepower. Which skill the next abstraction layer devalues, and which one it rewards.

Agile today generates more eye rolls than motivation. Why now is the time for real Agile: individual, human, and self-learning.

Taking over AI output builds no relationship with the result. Why ownership grows from working through things, not from generating them.

Kamchatka 2008 with books instead of a ChatGPT itinerary: what the double compression of time and work does to us, and why deliberate brakes help.

AI generates movies and apps while teams drown in legacy code. Why we should use AI for the problems that actually hurt, not for demos.

A waiting room without a smartphone, and suddenly a thought appears. Why our brains need idle time and boredom is an incubator for ideas.

Open source is more than free software: licenses, maintenance, quality, and the question of what you can give back to the community.

AI noise from every direction: why total refusal rarely works, and how small steps and the Gartner Hype Cycle help you stay relaxed but mindful.

Are we preventing learning?

Software architecture is a cornerstone of testability. Why testers and architects should have coffee together more often.

Why I don't despair

The future of testing lies not in better tools but in humanity. Why testers are the interpreters between AI, code, and the people behind it.

Explore the future of software testing with AI in software testing and essential soft skills for achieving better quality and user satisfaction.

Transform your mindset and embrace Agile Coaching Strategies to navigate the digital landscape effectively.

Explore how AI in software development is reshaping the landscape, making human-centric programming languages potentially obsolete.

Unlock successful software testing with requirements engineering processes, minimizing errors and optimizing your test efforts in 2025.