AI assistants are changing how we write code, but their true power is unleashed when they can interact with specialized, high-precision tools.OpenAI’s Codex is a formidable coding partner, but what happens when you connect it directly to your running infrastructure? Enter the Docker MCP Toolkit. The Model Context Protocol (MCP) Toolkit acts as a secure bridge, allowing AI models like Codex to safely discover and use any of the 200+ MCP servers from the trusted MCP catalog curated by Docker. In

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jQuery is a household name among web developers who have been around the block.Initially released in 2006, it took the web development world by storm with its easy and intuitive syntax for navigating a document, selecting DOM elements, handling events, and making AJAX requests.At its peak in 2015, jQuery featured on 62.7 percent of the top one million websites and 17 percent of all Internet websites. A decade later, jQuery is not the shiny new kid on

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Building Docker images is an important component of the software delivery pipeline for modern applications.It’s how we package our apps and services so that they can be distributed to others and deployed to production.While the Dockerfile has long been the standard for defining container images, it is known to be challenging to make changes and debug when issues arise.It’s currently a real pain to understand the build time state during the different stages of the build.What was the state of the ARG?

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At Docker, we are building our hardened images to exacting standards.That means carefully crafting by hand, because humans are still the best security architects.That said, we understand the value of AI and deploy it as an extra set of eyes at critical junctures in our Docker Hardened Image (DHI) build process.With this dual approach, our users get better coverage and more secure products.Humans aren’t perfect, but AI can help them become better.Here’s a recent example of how the AI tools we use for

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In the rapidly evolving landscape of AI-assisted development, most developers continue to struggle with clunky web interfaces, resource-intensive IDEs, and fragmented toolchains.But what if we told you there’s a combination that pairs Google’s 76.3K-star Gemini CLI (in just 5 months) with Docker’s innovative MCP Toolkit, quietly revolutionizing how modern AI developers work? Enter the powerhouse duo:Gemini CLI and Docker MCP Toolkit.This isn’t just another tool combination — it’s a paradigm shift that delivers developer AI assistance with zero

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