Blog Archive

AI-powered browser testing connected to multiple enterprise software environments, representing Claude Code, Playwright MCP and cross-platform automation.
AI

Claude Code and Playwright MCP: Do Testers Still Need Automation Tools?

AI agents are changing how software testers work. But if tools like Claude Code and Playwright MCP can explore applications and generate tests, where does that leave traditional test automation? The combination of Claude Code and Playwright MCP is attracting attention across the testing community. By connecting AI-powered coding assistants with browser automation, testers can

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"Dark, futuristic software testing environment with illuminated screens representing autonomous AI testing in a lights-out testing factory."
AI

The Dark Testing Factory: Can AI Testing Be Trusted Without Human Oversight?

What happens when software testing becomes so autonomous that humans are barely involved? The software testing industry is moving towards a new model: the dark testing factory. A concept where AI agents can explore applications, generate and execute tests, analyse results and maintain automation with increasingly limited human intervention. In September 2026, UiPath outlined its

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Abstract digital network showing interconnected orange nodes on a dark background, with one disconnected grey node representing a critical AI service outage and the importance of automation resilience.
AI

What Happens When Critical AI Services Become Unavailable?

A practical look at automation resilience, AI dependency and business continuity in an increasingly AI-driven world. Recent restrictions affecting access to Anthropic’s advanced AI models have highlighted an important question for businesses adopting AI technologies: what happens when a service your team depends upon becomes unavailable? While the circumstances surrounding the restrictions are specific to

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AI Learning and Artificial Intelligence Concept. Business, modern technology, internet and networking concept.
AI

AI Can Generate Tests. But Can They Be Repeated?

The rise of AI-driven tools has transformed how quickly teams can create test scripts. Functional tests can now be generated in minutes using cloud-based platforms, low-code tools, or AI assistants. This shift has redefined expectations around speed and accessibility in test automation. But speed is only part of the equation. A generated test has limited

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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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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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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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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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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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