
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.
Automation of testing activities, including strategy, frameworks, tool selection, maintainability, and appropriate automation boundaries.

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.

Explore software quality assurance's role in low-code testing. Ensure your projects meet high standards without sacrificing speed.

Explore test automation strategies for desktop, client-server, and web applications, ensuring effective testing across system types.

Boost efficiency with agile test automation. Experience structured implementation phases and enhance your project outcomes

Explore various test automation approaches, from model-based to keyword-driven testing, and choose the right strategy for your needs.

Enhance your quality assurance with test automation. Discover how automated testing tools boost efficiency in software development.

Use test automation tools to streamline routine tasks efficiently and gain more time for agile testing techniques.

Get effective test automation tools suggestions to enhance testing efficiency and quality. Discover what works best for your team!

Slow systems cost real money before they ever crash. A 70% CPU threshold triggers automated alerts, isolates the root cause, and keeps users from ever seeing a 404.

Flaky end-to-end tests and 40% of time lost to maintenance: one HTML attribute added in 2017 still prevents this today.

Automating LLM tests, even though no result is guaranteed? It’s possible—if you redefine determinism and use LLMs as judges.

COBOL developers found writing unit tests in Java easier than in their own language. The interface architecture made it work on a mainframe.

From developer to test automation engineer: Why clean code principles decide which automation lasts for years and which doesn't.

Playwright works just as well with Python as with TypeScript. Here's what changes, what you gain, and what you have to build yourself.

130 participants, a clear focus on test automation and real practical reports: Why TACON in Leipzig attracts more and more people every year.

Test automation code deserves exactly the same design care as production code does. Page Object, Builder and Facade prevent spaghetti code.

Robot Framework started as a master's thesis in 2004 and now has over 80 foundation members. Here's how a generic test core scales to a global ecosystem.

From two weeks of manual testing to three hours: how an AI-based solution automates legacy apps without element IDs.

A gaming company logged nearly 5,000 defects in eight weeks. Better test automation strategy, not better tools, is how you change that picture.

Picking the wrong end-to-end test framework can leave whole browsers untested. Here's how to match tools to real project needs before it costs you.

Switching test automation frameworks mid-product is messy, yet a Cypress to Playwright move works. Pricing forced it, AI translated the tests.

Playwright, Cypress and WebdriverIO compared on four criteria: why Playwright wins new projects, why WebdriverIO trails, and when switching is not worth it.

Insurance salespeople test releases themselves when tools and coaching are right. A Center of Excellence needs three minutes per release.

If you calculate target values for 2,500 signals manually, you lose the connection. How a reference implementation as a test oracle solves this.

End-to-end across web, desktop, database and 3270 hosts: where Robot Framework earns its place, where web-only tools stop, and why it won't die soon.

Migrating from Cypress to Playwright took one team over a year next to daily QA work. The stumbling blocks: session handling, request interception, grown tests.

Those who test protect everyone on the team and in the project, not just themselves. A test net for embedded builds on CMake and Google Test.

700.000 lines of code in a combi steamer, 2,000 test cases per night: how test automation really works in device development.

AI-generated test code compiles cleanly but very often tests the wrong thing entirely. Writing unit tests yourself is the smarter route.

Pen tests at the end of a project always find the same headers, misconfigurations and gaps. Security in the pipeline cuts that to a handful.

The hardware arrives late, testing starts anyway. Why simulators fail at timing and bus protocols, and when real target hardware belongs in the CI pipeline.

90% of failed tests are real bugs, not automation errors. Why no project can do without manual testing.

AI testing, test data, accessibility: which trends testers should really have on their radar and why the right tool often doesn't solve the actual problem.

A test automation monolith that has grown for years, XML everywhere in the code like a tumor: How to refactor anyway and what really counts.

Choosing an E2E test automation framework starts with the requirements, not with the tool. That saves the expensive framework switch later.

Throwing away four years of test automation and starting from scratch: Why this radical cut was the right decision and what was done differently this time.

6.000 test cases, CI runtime under 10 minutes: How test-based selection via code coverage makes exactly that possible.

Agile quality needs more than test automation: roles, approach and processes must fit together. The House of Agile Quality shows you where to start.

Cypress instead of Selenium: Why real browser testing is more stable, how component testing saves the test pyramid and where the tool's limits lie.

6.5 hours of test runtime, reduced to 10-15 minutes: How test case selection across C++ and Java makes it possible.

Selenium is not a test tool, but a browser automation. Why this difference determines how you integrate test automation into your team.

200 failed tests, but only seven real causes: How machine learning radically simplifies testing operations without rationalizing away roles.