Web applications are being built faster than ever. AI coding assistants can generate features in minutes. Developers can prototype complete applications with tools such as Cursor, Claude Code, GitHub Copilot, Replit, Lovable, and other AI-powered development environments. But faster development creates another problem: software still needs to be verified before it reaches users. That is…
Software teams are shipping faster than ever. Agile development, continuous integration, and AI-assisted coding have significantly shortened release cycles, while customer expectations for quality continue to rise. Features that once took weeks to build can now be developed in days or even hours. However, one part of the software delivery process continues to create bottlenecks…
AI is changing software development faster than most teams expected. What used to take weeks can now happen in hours. Developers are generating entire features with tools like GitHub Copilot, Cursor, Claude, Lovable, Bolt, and Firebase Studio. Startups are shipping MVPs at unprecedented speed. Product teams are experimenting faster than ever before. And according to…
If you’ve been in software testing for more than five minutes, you know Selenium. It’s been the default answer to “how do we automate web tests?” since 2004. For a long time, that answer made sense. Selenium was free, open-source, and flexible enough to test almost anything you could throw at it. But here’s what…
AI is now everywhere in software testing. From self-healing scripts to natural language test creation, many tools claim to be “AI-powered.” But not all AI in testing is created equal. There’s a growing divide between AI-assisted tools and what can be called AI-native testing systems, and the difference isn’t just semantic. It has real implications…
SaaS teams in 2026 are building and shipping faster than ever, but speed without quality is expensive. As products evolve continuously, traditional test automation, built on scripts, selectors, and fixed workflows, struggles to keep up. Tests break, maintenance grows, and coverage often lags behind real user behaviour. This is exactly why no-code AI test automation…
Software testing is changing fast. For decades, testing has largely followed the same pattern: humans write test cases, automation engineers convert them into scripts, and teams spend endless hours maintaining those scripts as the product evolves. But as software becomes more complex and release cycles get faster, that model is reaching its limits. Explore Autonomous…
Artificial Intelligence has become one of the most overused terms in software testing. Every tool is “AI-powered.” Every workflow claims to be “intelligent.” Yet for many QA teams, the day-to-day reality still looks the same: brittle tests, slow feedback loops, manual bottlenecks, and increasing pressure to ship faster with fewer defects. So what is actually…
Scandium is an all-in-one AI-powered QA suite for modern teams, featuring Scandium Auto for no-code test automation across web, mobile, and API, TestPod for intelligent test management, and Rova AI for autonomous software testing powered by agentic AI.
Scandium is an all-in-one AI-powered QA suite for modern teams, featuring Scandium Auto for no-code test automation across web, mobile, and API, TestPod for intelligent test management, and Rova AI for autonomous software testing powered by agentic AI.
Scandium is an all-in-one AI-powered QA suite for modern teams, featuring Scandium Auto for no-code test automation across web, mobile, and API, TestPod for intelligent test management, and Rova AI for autonomous software testing powered by agentic AI.