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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

Anna Mountford March 3, 2026

Visual Test Automation, AI face and code looking at validation. Blue and orange colour.

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.

Anna Mountford March 3, 2026

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

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

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.

Anna Mountford February 9, 2026

Face with coding running over it. Black background and orange code.

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

Anna Mountford February 5, 2026

Hands typing on a laptop keyboard with a digital lock hologram, concept of cybersecurity on a bokeh lights background.

Defence

The Air-Gap Paradox: Architecting Non-Invasive QA for Mission-Critical Systems

In the world of mission-critical software, where failure is not merely a bug but a potential catastrophe, the greatest obstacle to automation is not technology: it is security. For sectors such as aerospace, defence, and medtech, we face a fundamental contradiction known as the Air-Gap Paradox. It is the architectural reality that the systems requiring

Anna Mountford February 4, 2026

Fiery Gaze: Intimate Portrait of a Human Eye created with Generative AI technology

Beyond the DOM: Why Agentic AI Requires a Visual-First Approach to Test Orchestration

The conversation around AI in software development has rapidly evolved from simple code generation to the far more ambitious concept of Agentic AI. We are moving towards systems that do not just follow instructions but reason, plan, and execute tasks autonomously. This paradigm shift holds immense promise for quality assurance, yet a critical chasm prevents

Anna Mountford February 4, 2026

RPA and Testing: Should there be a divide in 2026?

RPA

RPA and Testing: Should There Still Be a Divide in 2026?

For many years, testing and robotic process automation (RPA) were treated as separate disciplines. Testing focused on validating applications and managing risk. RPA focused on automating repetitive business processes to improve efficiency. Each had its own tools, teams and ways of working. That separation once made sense. Today, it is becoming increasingly difficult to justify. As organisations

Anna Mountford January 22, 2026

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,

Anna Mountford January 22, 2026

When Self-Healing Masks UI Regression

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

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

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

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

The Air-Gap Paradox: Architecting Non-Invasive QA for Mission-Critical Systems

Beyond the DOM: Why Agentic AI Requires a Visual-First Approach to Test Orchestration

RPA and Testing: Should There Still Be a Divide in 2026?

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

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