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Money and cost implications of AI. A man holding an iPad with a graph hovering above it.
 AI

The Hidden Cost of Testing AI-Generated Software Without UI Validation

Code can now be generated, modified and deployed faster than ever before. Development cycles are shorter, iteration is constant, and testing pipelines are expected to keep pace. On the surface, everything appears under control.Test suites pass. APIs respond correctly. Automation reports are green. But users still encounter problems. Buttons don’t appear. Totals display incorrectly. Layouts

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Anna Mountford April 7, 2026
Coding with orange text and keyboard.
 Testing

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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Anna Mountford March 3, 2026
Visual Test Automation, AI face and code looking at validation. Blue and orange colour.
 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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Anna Mountford March 3, 2026
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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Anna Mountford March 3, 2026
Face with coding running over it. Black background and orange code.
 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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Anna Mountford February 5, 2026
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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Anna Mountford November 24, 2025
AI testing in 2025. Hands on a keyboard
 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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Anna Mountford November 13, 2025
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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Anna Mountford July 8, 2025
Coding software developer work with augmented reality dashboard computer icons with responsive cybersecurity.
 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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Anna Mountford April 28, 2025

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