Docker, Inc

New in Docker Labs: Making MCP Servers Easier to Use 💻 Since we announced our work with the Model Context Protocol (#MCP), developers have been expanding their AI capabilities. What we're seeing is that with nearly 200 projects listed on the MCP servers page, discoverability and usability are key challenges. So, this edition of our engineering team's Docker Labs experiments with tool runtimes to streamline how developers find and use MCP tools. Cool video included 👀 Learn how to: 👾 Connect to a single endpoint that can find and launch other MCP servers dynamically. 👾 Use one command to connect your MCP client (Claude Desktop, Cursor, Goose, etc.) to Docker’s MCP endpoint. 👾 Get better tool selection and secure secret management for MCP server containers. Are you building an MCP client or working in this space? Let’s collaborate! Connect with us on GitHub or drop a comment below. #DockerLabs #AI #Containerization #DevTools

What is Docker? More Than Just Containers. Docker is the essential dev tool for modern software teams, helping you: ✅ Streamline development – Move from legacy to cloud-native with ease ✅ Boost productivity – Accelerate AI & cloud-native workflows ✅ Ensure security – Build with verified, trusted components ✅ Optimize software supply chains – Continuously improve & scale From local dev to production, Docker simplifies complexity so you can focus on building. 🔗 Read each blog post! 🔒 http://spklr.io/6044NVQa 👾 http://spklr.io/6045NVQx 🧷 http://spklr.io/6046NVQI ✅ http://spklr.io/6047NVQL 📈 http://spklr.io/6048NVQ0 #Docker #DevTools #CloudNative #AI #SoftwareDevelopment #Productivity

🤖 What if AI could generate tools based on problem descriptions? Instead of coding a tool to fetch GitHub issues, what if we simply ask an AI agent to create it for us? 🚀 Explore this shift in development with Docker + GenAI in the latest Docker Labs 👉 http://spklr.io/6047NR0t #Docker #AI #GenAI #DevTools #CloudNative #Productivity

🙌 Exciting News: Docker Bake is Now Generally Available! We're thrilled to share that Docker Bake has graduated from experimental to General Availability in Docker Desktop 4.38 This powerful build orchestration tool simplifies complex Docker builds, offering: 🏁 Simplicity: Replace intricate build commands with a single docker buildx bake command 🧘🏽 Flexibility: Utilize declarative file formats to define build configurations tailored to various environments 🏎️ Performance: Leverage parallelization and deduplication for faster, more efficient builds With Docker Bake, managing multi-image workflows becomes seamless, enhancing both development speed and consistency across teams. In our latest blog post, learn more about how Docker Bake can transform your build process. 🗞️ https://lnkd.in/dFe9pWsr #Docker #DevTools #BuildAutomation

AI agents, but make them actually easier to use. In this new video, we dive into some new ways to level up AI workflows: 🔹 Streamlining MCP servers for AI 🔹 Experimenting with a fresh Docker Desktop extension 🔹 Connecting LLMs to tools using Markdown + Docker Check it out and let us know how you might use these tools! 🎥 👉 http://spklr.io/6047N3lh #Docker #AI #DevTools #CloudNative #DeveloperExperience #AIWorkflow #DevOps

We built a Docker AI Agent (beta) to be your AI-powered assistant inside Docker Desktop! It helps you write, debug, and optimize your Dockerfiles, Compose files, and configurations effortlessly. ✨ What Docker AI Agent brings to your workflow: ✅ Instant guidance – Get AI-powered insights on errors, best practices, and performance optimizations. ✅ Smarter development – AI-assisted debugging and configuration suggestions save you time. ✅ Seamless integration – Built directly into Docker Desktop for an intuitive developer experience. Try it today in Docker Desktop 4.28 and help shape the future of AI-driven development! 🔗 Read more: http://spklr.io/60482IJr #Docker #AI #DeveloperExperience #Productivity #DevTools #CloudNative

The Model Context Protocol (#MCP) is changing how developers and their teams extend LLMs, making it more: 👉 open 👉 flexible 👉 powerful And with Docker, it gets even better. Want to see how? Check out this sneak peek, and stay tuned for tomorrow’s deep dive! 👀🔥 #Docker #AI #LLMs #DeveloperExperience Check out our latest video series with Colin McNeil and subscribe to get new ones as they drop! 👉 https://lnkd.in/eE9qiWqK

🦋 Docker is now on Bluesky! Developers, innovators, and container enthusiasts—join us on @Blueskysocial [handle: @docker.com] for more open conversations, real-time updates, and all things Docker. Whether you're shipping code, securing your software supply chain, or exploring AI-driven development, we're here to connect and collaborate. Follow us and be part of the journey! 🐳 What do you want to see from us on #Bluesky? Drop your thoughts below👇 #Docker #DevCommunity

🚀 Developer onboarding: A hot topic with real challenges! We recently ran two polls to better understand the biggest onboarding pain points and how long it really takes to get new devs up to speed. The results? 🛠 Biggest struggles: Setting up environments (46%) Unknown dependencies (38%) ⏳ How long should onboarding take? 1-3 months was the sweet spot for nearly half (48%) of respondents. With over 2,400 votes and strong engagement, it’s clear that onboarding is a major factor in developer productivity, retention, and overall team efficiency. As James Paschall pointed out in the comments, what "productive" looks like depends on the team, project, and ecosystem. But one thing is universal: the faster teams can ramp up, the better. 🔹 So how do you cut down the time and effort? That’s where Docker comes in. Our tools help teams: ✅ Eliminate onboarding bottlenecks with standardized, ready-to-go dev environments ✅ Reduce friction by managing dependencies and toolchains seamlessly ✅ Improve retention & productivity with a developer-friendly ecosystem By simplifying deployments, optimizing management, and reducing inefficiencies, Docker ensures teams get up and running faster—without the headaches. What’s been your biggest onboarding challenge? Drop a comment below! 👇 #developeronboarding #devproductivity #docker

Love seeing Dockerized MCP Servers making AI app deployment effortless! 🚀 Defang’s work shows how Docker simplifies AI workflows—so devs can focus on building, not wrangling infrastructure. Check it out 👇 #Docker #AI #CloudNative #DeveloperExperience