Systems | Development | Analytics | API | Testing

Regression testing is indeed one of the most time-consuming part of software testing: repetitive, tedious, and requiring high volume of executions. And yet, you can't ignore regression testing. It is the guardrail preventing bugs from slipping into production. But if you don't try to reduce the time it takes to do regression testing, it becomes counter-productive, very soon.

With the rapid adoption of AI-driven coding tools, software development is experiencing a seismic shift. Increasingly, developers rely on tools like GitHub Copilot and other generative AI solutions (collectively termed “vibe-coding”) that now account for roughly 30% of code output in leading organizations. This trend raises significant questions for QA teams: What happens when AI significantly contributes to the codebase, and how does this reshape the landscape of software testing?

Tricentis has just introduced three industry-first innovations that mark a major leap forward in autonomous software testing. Whether you’re already using Tricentis solutions or exploring smarter ways to scale your testing strategy, these advancements unlock a new level of flexibility, intelligence, and productivity for enterprise software quality.

Testing has always been a time-consuming process (and often isolated from the development cycle). As applications became more complex and user expectations leveled up, the need for a more structured and scalable approach to test management emerged. Test management has evolved significantly, moving from static spreadsheets toward integrated platforms that support automation, traceability, collaboration, and real-time insights.

It is said that the special nature of software development is ever-changing so it is important to choose the right tool for the job. Whether it’s a web interface or a cross-platform mobile app you are building, React and React Native are two of the most powerful technologies available today. This blog will answer the question of "what is React and What is React Native" and show how Keploy can help improve test efficiency across both frameworks.

Test automation is no longer a nice-to-have—it’s a baseline expectation for any team serious about delivering high-quality software at scale. Paulo Feitosa , Sr. Manager, Automation Solutions,

Test case design constantly adopts new languages, architectures, and methodologies. But in the last few years, the pressure to scale while ensuring quality in a smart way, without overly increasing efforts, has changed the narrative. AI has entered the scene, promising to systematize decisions, reduce redundancy, and even create tests from scratch. Some teams have already experimented with AI, while others observe with skepticism.