Author: Anil Polywal

In 2025, AI-powered testing continues to revolutionize the software development lifecycle, enhancing efficiency, accuracy, and scalability. As organizations strive for rapid and reliable releases, AI-driven testing methodologies are becoming indispensable. Below are the key trends shaping the future of AI-powered testing in 2025. 1.Hyper-Automation in Testing AI-driven hyper-automation is reducing manual intervention in testing processes.…

In 2025, software testing has entered a new era, driven by artificial intelligence that is redefining how quality assurance is approached. The traditional methods of testing, once reliant on extensive human intervention and manual scripting, are rapidly giving way to intelligent, self-sufficient systems that ensure software reliability with unprecedented efficiency. The Shift from Manual to…

The software development landscape has evolved dramatically in recent years, and as we step into 2025, Continuous Testing in DevOps has become the cornerstone of high-velocity, high-quality software delivery. No longer just a best practice, it is now an essential discipline that bridges development and operations, ensuring rapid feedback, seamless deployments, and superior user experiences. Why Continuous…

The software development world is undergoing a seismic shift. With low-code/no-code (LCNC) platforms democratizing app creation, a pressing question emerges: Will traditional testers become obsolete? Far from eliminating the need for quality assurance, this movement is ushering in a new era of testing — one where domain experts, business users, and AI collaborate with professional testers to redefine quality at…

The digital landscape is evolving at breakneck speed, and with it comes an alarming surge in cyberattacks targeting web applications. From data breaches to ransomware, businesses and users face unprecedented risks every day. In response, a new era of security testing has emerged—one that goes beyond traditional vulnerability scans and penetrates the core of modern threats with intelligent,…

In an age where digital transformation is accelerating at an unprecedented pace, ensuring the reliability and security of software has never been more critical. Traditional software testing methods, while effective, often face challenges related to data integrity, traceability, and collaboration among stakeholders. Enter blockchain technology—a revolutionary force that is redefining the landscape of software testing by…

The rise of cloud computing has ushered in a new era of application development, where scalability, flexibility, and reliability are no longer optional — they are essential. Cloud-based applications have transformed how businesses operate, enabling seamless access to resources, real-time collaboration, and global reach. However, with this transformation comes the challenge of ensuring that these…

In the fast-paced world of software development, efficiency is key. As applications grow more complex and user expectations rise, the ability to identify, track, and resolve bugs quickly has become a critical factor in delivering high-quality software. Enter Genqe.ai, a revolutionary tool that is redefining bug tracking and test efficiency in this new era of software…

As artificial intelligence (AI) continues to revolutionize industries, the need for robust security measures has never been more critical. AI models, with their vast amounts of data and complex algorithms, are increasingly becoming targets for cyberattacks and data breaches. In this new era of AI, ensuring the security of these models is not just a…

As artificial intelligence (AI) continues to revolutionize industries, the need for robust and efficient testing of AI models has become paramount. AI model testing ensures that these systems perform accurately, reliably, and ethically. However, manual testing of AI models is often time-consuming, error-prone, and impractical due to the complexity and scale of modern AI systems.…