The textile world is undergoing a transformation, one where creativity meets computation, and tradition dances with technology. Artificial intelligence is not just automating processes; it is unlocking new dimensions of design, sustainability, and personalization. Here are the five most exciting trends I am watching closely as AI continues to reshape the fabric of our future.Smart Textiles That Think for ThemselvesGone are the days when fabric was passive. Today’s smart textiles are embedded with sensors and responsive fibers that adapt to your body and environment. AI algorithms interpret data from these materials to adjust temperature, posture, and even hydration levels. See how…
Author: drweb
This is Part 2 of our MCP Horror Stories series, an in-depth look at real-world security incidents exposing the vulnerabilities in AI infrastructure, and how the Docker MCP Toolkit delivers enterprise-grade protection. The Model Context Protocol (MCP) promised to be the “USB-C for AI applications” – a universal standard enabling AI agents like ChatGPT, Claude, and GitHub Copilot to safely connect to any tool or service. From reading emails and updating databases to managing Kubernetes clusters and sending Slack messages, MCP creates a standardized bridge between AI applications and the real world. But as we discovered in Part 1 of…
The TOML (Tom’s Obvious Minimal Language) format came out in 2013, so it’s been around for more than a decade. Python added support for TOML in Python 3.11 with its tomllib module in the standard library. However, unlike some of Python’s other standard libraries, such as jsonor its XML-related libraries, the tomllib library is only for reading, not writing. To create TOML documents in Python, you will need a third-party TOML package, such as tomlkit or toml. Many Python developers use TOML as their configuration format of choice. In fact, you will find that most popular Python packages use a…
AI coding assistants are rapidly changing how developers write software, with Gartner predicting that 75% of enterprise developers will be using them by 2028. This monumental shift is redefining the developer’s role — evolving it from code writer to system guide, validator and integrator. At the center of this transformation is a buzz-worthy practice we all know as “vibe coding”: using AI to translate high-level ideas into working code quickly. It’s a powerful method for rapid experimentation, but as it moves from experimentation to the enterprise, it brings significant risks. The opportunity to accelerate innovation is here, but to seize it,…
Hard Questions: What You Should Really Be Asking Your Hardened Image Provider Before You Press the Buy Button Not all hardened images are secure. Ask these 15+ critical questions to evaluate providers’ patching, flexibility, transparency, and CI/CD compatibility
About Us Wild Alaskan Company’s mission is to accelerate humanity’s transition to sustainable food systems by fostering meaningful, interconnected relationships between human beings, wild seafood and the planet. We deliver wild-caught, sustainable seafood to households across the United States. Powered by our custom-built eCommerce platform and three generations of history and expertise in the Alaskan fishing industry, we constantly strive to meet our promise of a top-notch product and experience. And we do it all in a fully-remote environment that is fast-paced, challenging, and fun. What to Expect Wild Alaskan Company is a data-driven, tech-enabled marketing and cold chain logistics company…
PlayerZero has extended its namesake platform that leverages artificial intelligence (AI) to analyze codebases by adding the ability to simulate code created using generative AI coding tools.Fresh off raising an additional $15 million in funding, PlayerZero CEO Animesh Koratana said CodeSim makes it possible to predict how that code will impact a codebase without having to rely on legacy testing tools that were created for a previous era of application development.PlayerZero has developed a platform that makes use of AI agents to analyze a codebase, its history, the tickets created, runtime telemetry, documentation and user analytics. The code simulation capability…
The Next Evolution of Docker Hardened Images: Customizable, FedRAMP Ready, AI Migration Agent, and Deeper Integrations Discover how Docker Hardened Images are evolving with AI-assisted migration, FedRAMP-ready variants, advanced customization, and deeper integrations. Build secure, compliant containers – faster.
In complex systems, failure isn’t a possibility – it’s a certainty. Whether it’s transactions vanishing downstream, a binary storage outage grinding builds to a halt, or a vendor misstep cascading into a platform issue, we have all likely seen firsthand how incidents unfold across a wide range of technical landscapes. Often, the immediate, apparent cause points to an obvious suspect like a surge in user activity or a seemingly overloaded component, only for deeper, blameless analysis to reveal a subtle, underlying systemic flaw that was the true trigger. But what separates high-functioning teams from the rest isn’t whether things break, it’s…
Hard Questions: What You Should Really Be Asking Your Hardened Image Provider Before You Press the Buy Button Not all hardened images are secure. Ask these 15+ critical questions to evaluate providers’ patching, flexibility, transparency, and CI/CD compatibility