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How to Create Playwright Scripts for Website Monitoring with Chrome, ChatGPT & Sematext

Let’s say you want to make sure your website works as expected. You do not want to check if it just loads. You also want to check if important buttons or features are there and working. Oh, and you don’t want to just do it once. You want to keep an eye on this pretty much all the time. And, of course, you don’t want to keep checking manually if anything broke – you want to be notified, alerted when (not if) things break. You can do this by creating a Browser Monitor.

Taking AI Apps From Prototype to Production

At this year’s AWS Summit in New York, agentic AI took center stage with Amazon’s launch of Bedrock AgentCore — a powerful step toward turning AI prototypes into scalable, production-ready applications. From low-code workflows to turnkey infrastructure, a new generation of tools is enabling teams of all skill levels to build, deploy, and monitor AI agents faster than ever.

Enginears Podcast: Redefining Developer Productivity in the AI Era

Developer productivity is top of mind for all engineering organizations. As AI accelerates software development, leaders face a fundamental question: Are we truly building faster, or just building more? And more importantly, are we building the right things, and building them well? In this new era, speed alone isn’t enough. High-impact teams must ensure their work aligns with customer value and is delivered with exceptional quality.

The Shift Toward Contactless, Tech-Powered Storage Solutions

Storage solutions are becoming more responsive to the demands of an increasingly digital and contactless world. From self-service entry to smart security capability, technology is transforming the manner in which people store and manage their belongings. Not only are such innovations improving convenience, but safety and efficiency for both providers and customers as well.

Balancing Feature Development and Bug Fixes in High-Pressure Projects: Insights from a Senior Software Engineer

Software engineering is not only about solving problems but it also about creating lasting value. Engineers constantly judge the demands of developing innovative features with the urgent need to resolve bugs, especially in high-pressure scenarios where deadlines loom large and resources are stretched thin. Maksim Lykov, a Software Engineer with six years of experience leading critical projects in global tech firms, offers valuable insights into these challenges. In this interview, he shares strategies, best practices, and philosophies to help teams not just survive but thrive under pressure.

Payment Orchestration: Leveraging AI for Smarter Payment Routing and Fraud Prevention

The digital payment landscape has undergone a remarkable transformation with the integration of artificial intelligence technologies. Modern businesses face the challenge of managing complex payment ecosystems while maintaining security and customer satisfaction. Payment orchestration emerges as the solution that bridges this gap, creating unified systems from fragmented payment infrastructures.

Speedscale: Avoid Regulatory Icebergs with Traffic Replay, and Save Money

It has never been more critical to establish a solid foundation for regulatory compliance. Regulations govern a wide range of functions. Some of them are obvious, such as health and human services, patient data, medical devices, and credit payments. Some of them are less obvious, especially with the ever-changing definition of what constitutes private and identifiable data. This article provides an overview of regulatory compliance challenges and the hidden risks organizations face beneath the surface.

66% of us use AI every day, but do we actually know how it works?

There’s a new kind of thinking happening in the world. It doesn’t come with memories, emotions, or doubt. It doesn’t hesitate. It doesn’t wonder. However, it appears to be thinking. Ask it a question, and it responds in perfect grammar. Ask for help, and it gives you options. You could almost believe it understands. Almost. This is what happens when machines are trained to speak like us, but without ever needing to understand us.