Systems | Development | Analytics | API | Testing

Strategic test management is the foundation that determines digital transformation success or failure. Recommendation: Implement unified test management early in digital transformation initiatives to ensure sustainable success and competitive advantage. Digital transformation has evolved from a strategic option to a business imperative.

AI coding tools like ChatGPT, GitHub Copilot, and Claude have completely changed how we write software. From humble beginnings where non-AI-enabled code assistants made intelligent code suggestions, like Intellisense, the latest agentic tools can generate entire functions, suggest optimal algorithms, and even scaffold complete applications in minutes. However, as any developer who’s worked with AI-generated code knows, the output isn’t always perfect.

Did you know that poor data quality costs the UK economy an estimated £244 billion annually, and up to 75% of ERP projects fail to deliver due to data issues? In today’s data-driven world, enterprise resource planning (ERP) systems promise to streamline operations, boost visibility, and sharpen decision-making across sectors such as banking, retail, and manufacturing. Yet, many UK organisations pour millions into these platforms only to see them falter. The culprit? Overlooking data assurance.

When your application crashes during peak traffic or returns cryptic error messages to frustrated users, the culprit is often hiding in plain sight: untested APIs. According to recent industry data, APIs now account for 71% of all internet traffic, yet many businesses still treat API testing as an afterthought.

Clicking links is one of the most basic things a user can do on a website. If you're writing test scripts, it’s also one of the most common actions you’ll need to automate. With Selenium WebDriver, you can interact with any hyperlink on the page, no matter if it's visible, hidden, dynamic, or opens in a new tab. All you need is the right locator and a clear understanding of how the browser responds.

Teams use different tools in their software testing life cycle. The problem? Each tool has its own way of communicating. The MCP (Model Context Protocol) Server is a new approach to integrating these tools. It’s like a universal translator, so your testing tools, scripts, and AI copilots can share context without endless plugins or one-off integrations.

BugSnag now supports applications built with the Vega Developer Tools from Amazon Devices & Services, giving developers immediate visibility into the stability of their TV-first apps. This launch is part of a deeper collaboration between SmartBear and Amazon, extending beyond tooling support into a broader partnership that accelerates software quality across the Amazon ecosystem.