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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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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
A bundle of orange spaghettit on a black background representing spaghetti testing in IT test automation
 RPA testing

The Cost of Complexity: How Image-Based Testing Solves the Spaghetti Automation Crisis

We’re all familiar with “Spaghetti Code”: source code that is unstructured, difficult to maintain, and tangled like a bowl of pasta. However, a less discussed but equally damaging phenomenon is plaguing Large-Scale Test Automation and Robotic Process Automation (RPA). We call it “Spaghetti Testing.” Spaghetti Testing occurs when automation suites grow without a unified architecture.

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Anna Mountford February 9, 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
Who Owns Testing Today? Shared Responsibility Across QA, Automation and RPA
 Software Testing

Who Owns Testing Today? Shared Responsibility Across QA, Automation and RPA

Ownership used to feel clear. QA teams planned it, executed it and carried responsibility for quality. Other roles contributed, but accountability was understood. Today, that clarity has shifted. Automation is everywhere, delivery cycles are shorter and responsibility for quality now spans QA, development, operations and the business itself. Testing happens across pipelines, platforms and processes,

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Anna Mountford January 22, 2026
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
T-Plan visual UI automation interface showing cross-platform testing in progress
 UI testing

The Challenge of True Visual Automation: Why Other Tools Struggle and T-Plan Excels 

In modern software testing, especially for QA professionals working in regulated sectors or high-precision environments, automation tools must go beyond basic object recognition. For QA testers responsible for validating complex systems – such as CAD, simulation, media, or engineering platforms – many frameworks run into technical limits as graphical accuracy rises and user demands increase. 

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Anna Mountford October 15, 2025
Comparison of top companies offering image-based and CAD test automation tools in 2025 including T-Plan, Ranorex, Eggplant, SikuliX and Qualitest
 Software Testing

Top 5 Companies Leading CAD and Image-Based Test Automation in 2025

This guide explores the leading image-based test automation platforms, including T-Plan’s business-ready solution and others such as Ranorex, to help QA teams select the most suitable option. In today’s technology landscape, quality assurance professionals face growing complexity when validating visually rich software and automating high-volume workflows. Traditional testing approaches often struggle to keep pace with

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Anna Mountford October 8, 2025
image with the letters VS on them to represent versus.
 Software Testing

T-Plan vs Ranorex vs Eggplant: In-Depth 2025 Comparison of Image-Based and RPA Test Automation Tools 

Selecting the right test automation platform is crucial for maintaining software quality and operational efficiency, especially when dealing with complex GUI-rich applications and robotic process automation (RPA) workflows. In 2025, T-Plan, Ranorex Studio, and Eggplant stand out as top contenders, each offering unique strengths across platform support, deployment options, AI-driven testing, and ease of use. 

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Anna Mountford October 8, 2025

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