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The Future of Shopping: How Smart Tech Helps You Save More

Smart technology is revolutionizing how we shop, making the process more convenient and more cost-effective. As consumers look for ways to save money while enjoying their shopping experiences, various innovations are stepping up to meet those needs. From artificial intelligence to mobile apps, smart tech is ushering when savings are just a click away. This article explores the ways in which smart technology is transforming shopping habits and providing practical tools for users to maximize their savings.

Playwright Check Suites Are Now GA - But What Does That Mean For You?

There are only a few companies that successfully invest in actively monitoring real user flows in production. I’ve been puzzled by the state of the art for many years, because I’m an anxious developer that always needs to know that production is “all right”. How can it be okay for all of us to wait for error logs, thrown exceptions or customer complains to learn about production issues?

How Generative AI is shaping the future of enterprise applications

The next golden age of artificial intelligence has arrived, but the path forward is far from certain. Technology leaders are presented with a tremendous opportunity to revolutionize their business — that is, if they can find a way to tap into the full potential of their organization's data. In Episode 4 of Elastic's new limited series, Generation AI, Elastic's Sr. Director, Enterprise Applications, Jay Shah, shares how he believes generative AI will shape the future of enterprise applications.

Real-Time Data with IoT Connector Software | Zebra

The Zebra IoT Connector is an essential utility for managing scanner-related events, offering a streamlined way to log and track device data. It allows users to configure event logging to various endpoints, such as command prompts, text files, HTTP instances, or Windows Event logs, using the IoTConnector-Config.xml file. This flexibility enables the capture of detailed information, including asset details, battery levels, firmware updates, and scanned data.

#017: Building and Scaling a Startup in the Ultra-Competitive Health Wearables Market

In today's Coredump Session, François Baldassari and Chris Coleman sit down with Ultrahuman co-founder Vatsal Singhal to unpack what it takes to build and scale a hardware startup in the fiercely competitive health wearable market. From transitioning from software to hardware to building responsibly with AI and machine learning, Vatsal shares what it means to blend deep engineering rigor with a mission to improve human performance. This conversation explores the challenges, surprises, and future of health-tech innovation at the edge.

Setting Up the GitKraken MCP Server with GitLens

GitKraken MCP (Model Context Protocol) brings repository intelligence directly into VS Code, Cursor, Windsurf, and other AI-powered IDEs so your agent stops guessing and starts understanding your actual workflow. Instead of manually explaining your branch structure or digging through issues in your browser, MCP connects your AI agent to the actual state of your repositories. It understands your branches, your issue tracker, your pull requests, and your commit history—then helps you start work, resolve conflicts, and review code without leaving your editor.

5 Best Practices for Incorporating AI Into Your Team

Honeycomb’s Jessica Kerr and Fred Hebert recently hosted a webinar with Courtney Nash of The VOID where they dug into one of the biggest questions in tech right now: How do we build systems (and teams) that actually learn with AI, not just use it? The conversation was surprisingly optimistic about what happens when we stop treating AI as a productivity tool and start seeing it as a teammate. You can watch the full webinar here, or read on below for a quick recap.

CEO Diaries: Not All AI Talent Is Alike

If Meta’s (now halted) nine-figure AI talent poaching scheme was any indication, the AI talent market is pretty frothy. The number of AI-related job postings has roughly tripled since 2019, and the average salary has more than doubled (Bain). The race is on for companies to find the fastest, most sustainable routes to AI-driven business value; all companies, but especially software companies, are hotly pursuing racers. But despite what Zuckerberg & Co.

Open Source Cloud Orchestration Tools Compared

Before 2011, cloud infrastructure was still new. AWS had launched EC2 and S3 in 2006. But to deploy applications, engineers had to manually spin up servers, configure storage, and set up networking — all by hand or with custom scripts. There were early configuration management tools, such as Chef and Puppet, but those didn’t offer full cloud orchestration. Then in 2011, AWS launched AWS CloudFormation as the first major orchestration tool.