Author: Anil Polywal

In the digital era of 2025, users expect seamless experiences — whether they’re streaming content, shopping online, or attending a virtual event. Behind these flawless front ends lies a rigorous process of load testing, designed to ensure that applications can scale under real-world pressures. Traditional load testing methods, while useful, often rely on rigid scripts…

As artificial intelligence becomes deeply embedded in everything from healthcare diagnostics to loan approvals and recruitment tools, one issue continues to dominate the conversation: bias. AI systems are only as objective as the data they learn from, and when left unchecked, even the most sophisticated models can perpetuate or even amplify existing inequalities. In 2025, testing…

In a digital world increasingly driven by decentralization and cryptographic integrity, blockchain applications are becoming core components of finance, supply chains, healthcare, and more. These apps promise trust, transparency, and immutability—but these promises are only as strong as the software behind them. As blockchain solutions grow more complex, the testing landscape must evolve to match.…

In 2025, artificial intelligence is not just powering apps — it is the app. From healthcare diagnostics to recommendation engines, ML models are making decisions that influence billions of lives. But while AI builds smarter systems, a critical question remains: Who tests the AI? Traditional software testing has matured over decades. But when it comes to machine learning…

In the fast-evolving world of software development, automation gets most of the spotlight. But amidst the rise of AI scripts, pipelines, and frameworks, there’s one method that still thrives on human insight: exploratory testing. Exploratory testing is the art of simultaneously learning about an application, designing tests, and executing them on the fly. It’s inherently flexible,…

In 2025, mobile apps are no longer just “mobile” — they’re multi-platform ecosystems, expected to run flawlessly across Android, iOS, foldables, tablets, wearables, and even desktop environments. Users demand seamless performance, consistent design, and real-time responsiveness — regardless of the device they use. But achieving that level of cross-platform consistency is far from simple. With so…

In today’s fast-paced development environment, businesses are expected to ship updates rapidly without sacrificing software quality. Continuous integration and delivery (CI/CD) pipelines have transformed how teams build and deploy applications — but they also demand equally fast and reliable testing. One of the biggest bottlenecks? Regression testing. Enter AI. Artificial Intelligence is revolutionizing regression testing by…

As voice technology continues to evolve, it’s reshaping how we interact with the digital world. From voice assistants like Alexa and Siri to smart home systems and in-car infotainment, voice is no longer a novelty — it’s fast becoming a primary mode of communication. To meet rising expectations, businesses are under increasing pressure to deliver…

In today’s competitive mobile app landscape, delivering flawless user experiences requires more than generic test automation. Genqe.ai revolutionizes mobile testing with intelligent script customization, enabling teams to achieve unprecedented precision while optimizing testing efficiency. The Limitations of Standard Mobile Test Automation Traditional mobile testing approaches often struggle with: Genqe.ai Custom Script Advantage Our platform transforms…

Automated testing has become indispensable in modern software development, but configuring effective test suites often presents challenges. Genqe.ai addresses these hurdles with its powerful custom test task configuration capabilities, enabling teams to optimize their testing workflows while maintaining flexibility and control. The Power of Custom Test Configuration Traditional automated testing tools frequently impose rigid frameworks…