AI-powered systems are no longer experimental. They sit at the center of cloud-native applications, making real-time decisions that affect customers, revenue, and risk. Yet many organizations still secure these systems the same way they did a decade ago, by focusing on infrastructure and perimeter controls while assuming the "intelligence layer" will behave as expected. That assumption is becoming increasingly dangerous ...

The software development landscape has undergone a seismic shift; artificial intelligence has democratized code creation, release cycles have accelerated to breakneck speeds, and the software supply chain has become more complex than ever. Yet beneath this veneer of progress lies a troubling reality — organizations are racing ahead with innovation while their security practices struggle to keep pace ...

For years, the success of DevOps has been measured by how much manual work teams can automate ... I believe that in 2026, the definition of DevOps success is going to expand significantly. The era of automation is giving way to the era of intelligent delivery, in which AI doesn't just accelerate pipelines, it understands them. With open observability connecting signals end-to-end across those tools, teams can build closed-loop systems that don't just move faster, but learn, adapt, and take action autonomously with confidence ...

AI-assisted coding has thrown the IDE, the mainstay of most developers' daily workflow, into an identity crisis. Classic IDEs were a code-first experience. They were designed for a human programmer typing code, staring at files, chasing references, and manually invoking tools and commands. They were built to support cognition at human scale and speed ...

You know that sinking feeling when a critical bug hit production? When a security vulnerability derails other priorities? When a "quick fix" from six months ago suddenly blocks a major release? We chase velocity, but velocity toward what? If we're racing to build things we'll have to tear down later, we're not innovating — we're just busy. In software, not every decision is permanent but some leave a lasting mark. Security architectures, data models, and decisions that impact customers trust can echo for years ...

Applause has released its fourth annual State of Digital Quality in Functional Testing report, offering a comprehensive look at how organizations test, measure and improve digital experiences. This year's findings reveal a clear shift toward AI-driven testing, broader adoption of human-in-the-loop approaches and an industry-wide move toward continuous quality across every phase of the software development lifecycle ...

Global economic disruptions aren't restricted to supply chains and manufacturing; their impact also quietly infiltrates the software industry. Software teams quickly feel the pinch when the global economy experiences some turbulence ... Although software companies are not directly affected by tariffs on physical goods, the indirect consequences are becoming harder to ignore. The software industry depends heavily on hardware infrastructure ...

Automation has firmly established itself as a cornerstone for DevOps teams, recognized for its power to accelerate software delivery, ensure quality, and promote collaboration. Yet, despite this widespread understanding and high expectations, the latest Software Testing and Quality Report reveals a notable gap: the full potential of automation often remains unrealized ...

QA teams are experiencing increasing pressure to accelerate release cycles, driven by AI-powered development, while maintaining high-quality standards, according to the 2025 Testing in DevOps Report from mabl ...

More than 96% of the world's top one million web pages are not accessible. This staggering number shines a light on the fact that digital accessibility isn't just about compliance; it's about ensuring software and digital experiences are usable for all users, including the 1.3 billion people worldwide (16% of the world's population) with significant disabilities. Yet, accessibility remains an afterthought in many development workflows ...

Part 3 covers predictions about software quality and testing, as well as some challenges developers will face in 2025 ...

Agile security sprints are specialized iterations within the Agile framework focused on embedding security into the sprint cycle. Rather than treating security as an afterthought or a final checkpoint, it's integrated into the regular sprint rhythm ...