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AI

When Self-Healing Masks UI Regression

Self-healing automation frameworks were introduced to address a persistent challenge in test automation: brittle selectors. In large test suites, even minor interface refactoring can cause cascading failures. Identifiers change, attributes shift and structural hierarchies are reorganised without necessarily affecting functional behaviour. Traditional frameworks interpret these structural adjustments as defects, creating maintenance overhead that grows over

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AI

Why Visual Test Automation Is the Missing Layer in AI-Augmented QA

Artificial intelligence is no longer experimental within software delivery. It’s embedded directly into development pipelines. Teams are generating UI components from prompts, refactoring service layers automatically and producing automation scripts with minimal manual effort. As a result, many organisations now describe their approach as AI-augmented QA. However, most augmentation is occurring at the authoring level.

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AI-Generated Code Defects face made of building block. orange and blue grey
AI

AI-Generated Code Defects: How to Test and Validate AI-Built Software

AI-Generated Code Has a Defect Problem. Here’s How to Test It Properly Artificial intelligence can now generate working software in seconds. From UI components and API integrations to full test scripts, AI coding assistants are accelerating development at a pace few organisations could have imagined even three years ago. However, speed is not the same

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AI

Vibe Coding is Taking Over: Why Hybrid Visual Test Automation is the Future

Software development has fundamentally changed. We’re moving past the era of writing precise syntax line by line and entering the age of “vibe coding” – where developers act as architects of intent rather than bricklayers of code. You describe the outcome, the “vibe”, and an AI model handles the implementation. It’s a productivity shift that

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T-Plan AI launch banner showing AI code generation and visual automation
AI

Introducing T-Plan AI: From Concept to Automation in Seconds

AI has rapidly shaped the conversation around software testing in 2025, but many teams are still searching for practical ways to use it without losing control, accuracy or repeatability. That is why we are excited to introduce T-Plan AI, a new capability that brings the speed of AI-powered code generation together with the reliability of

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AI

How AI Has Evolved Through 2025: A Balanced Look at Its Role in Testing

Over the past year, AI has dominated conversations across the software industry. Predictions of fully autonomous QA, instant test generation and self-healing automation filled headlines, while fears around job displacement added fuel to the hype. As we move further into 2025, that excitement has begun to settle. Organisations are evaluating AI more realistically and with

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Diagram comparing AI test automation failures in regulated and desktop environments with T-Plan’s secure, repeatable test automation platform across Windows, Linux, and mobile.
AI

Why AI Test Automation Fails in Regulated and Desktop Environments (And Why T-Plan Is the Safer Choice) 

Why One-Size-Fits-All AI Testing Does Not Work  As more organisations rush to adopt artificial intelligence for software testing, there is a growing assumption that AI is the best answer for every environment. In reality, many teams quickly discover that AI-based test automation does not suit every platform, industry or security model.  If your software depends

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AI

Smarter Visual Regression Testing for Web, Mobile and Embedded

The illusion of visual testing Most teams today will tell you they have automated visual regression testing covered. They run scripts, capture screenshots, compare images, and get a green dashboard at the end of the build. From the outside, it looks impressive; polished workflows, integrated pipelines, badges of “full visual coverage.” Scratch the surface, though,

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AI

The Evolution of TuringBots in Software Testing – And Why They Work Even Better with T-Plan 

Software testing has come a long way. We started with manual testing, then moved to scripted automation, and now we’re entering the era of AI-powered TuringBots—intelligent bots that can generate, execute, and optimise software tests with minimal human effort.  Sounds amazing, right? Well, not so fast. While TuringBots are powerful, they work best when paired

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