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Product-minded testing: choosing what matters when everything feels important

Prioritise high-impact user journeys and critical risks over exhaustive checklists to ensure essential product functions remain reliable and user-focused through a product-minded testing approach. Most testers I have worked with do not struggle to find bugs. However, they do struggle to choose what deserves their time. Modern products keep growing.

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GUI Testing: Methods, Automation and Best Practices

A Practical Guide to GUI Testing Graphical User Interface (GUI) testing is essential for ensuring that applications are intuitive, reliable and fully functional from a user perspective. While backend and API testing validate system logic, GUI testing focuses on how users actually interact with software. Understanding how to test GUI applications effectively.

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Defensible AI: What Boards Must Get Right on Security and Safety

As AI adoption accelerates and risks evolve faster than frameworks, boards must rethink how they oversee technology that is powerful, unpredictable and increasingly targeted. The rapidly evolving nature of AI technologies is creating enormous opportunities while also straining the existing scaffolding that boards and executive leadership use to manage and.

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The future of testing: Autonomous agents, ethical AI, and human oversight

Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and transparency in AI-driven systems Introduction The role of the tester has never been static! From the personal touch of verification to automated regressions, Quality Assurance (QA), and now Quality Engineering, software testing has evolved alongside the.

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Why ‘Shift Left’ Is Breaking Down In The Age Of AI

Software runs the world, and how it's built is ever-changing. However, that doesn't mean it's always built well—or as good as it can be. Today, the stakes are higher than ever before. AI is helping to crank out new software and applications faster than ever, but the "shift-left" movement that.

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Testing data quality effectively

In the past, quality and computers usually meant software quality. Data was in the background. Even though data has been important in some quarters for a while, the rise of machine learning and other data science tools, such as generative AI, has meant that data quality has become a more widespread concern.

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Software Development Trends Every Team Should Watch in 2026

Software development isn’t just moving fast, it’s moving in directions that few teams fully anticipated even twelve months ago. Security expectations have sharpened, climate accountability is real, hiring remains difficult, and AI has embedded itself into workflows that used to belong entirely to humans.  Atlassian’s 2024 Developer Experience Report found.

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What is software quality?

Transition from reactive quality assurance to proactive quality engineering by embedding shared responsibility throughout the entire development lifecycle When we say 'software quality' or simply ‘quality,’ we think that everyone understands what we mean by it. The problem is that if you ask a bunch of different people in a.

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