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

🔩 Simplify multi-architecture image management 🔩 The DevTools team at #Cloudflare no longer juggles redundant image tags for different architectures. With Docker’s manifest lists, managing AMD64 and ARM64 images is seamless, reducing complexity and saving time. 👉 Ready to simplify your workflows? Start here: http://spklr.io/6049FUaP #DeveloperExperience #CloudNative #Docker

🛠️ Docker Labs: GenAI Edition #18 – AI-Generated Tools in Action! In this latest edition of Docker Labs, we explore how AI can generate development tools on demand based on a problem description. This triptych-style breakdown showcases the high-level interaction flow—turning an idea into a working solution with AI. 🤖💡 🔹 How does AI interpret and build tools? 🔹 What role does Docker play in accelerating this process? 🔹 How can developers leverage these patterns for cloud-native AI development? 👉 📄 Get the doc and check out the full tutorial from the Docker engineering team: http://spklr.io/604125hD #DockerLabs #GenAI #AIforDevelopers #CloudNative #DeveloperExperience

🚢 ⚓ Ready to put your container skills to the test? Professional actor and #Javascript developer, Nicholas Goh, built a Docker game called Harbouring Feelings, where the player packages up containers in a story narrative 🐳 💙 Give it a spin and see if you can ship your container without hitting rough waters. 🔗 Play now: http://spklr.io/60442IEE #Docker #DevFun #GameDev #schoolofcode #codingbootcamp

Managing slow build times across teams? Speed up development with Docker Build Cloud + AWS CodeBuild! Our latest guide shows you how to: ✅ Reduce CI build times ⏱ ✅ Scale builds effortlessly 📈 ✅ Improve developer productivity ⚡ Keep your team shipping faster with seamless cloud-accelerated builds. Check out the blog to get started! 🔗 Read more: http://spklr.io/60482xfu #Docker #DevProd #CloudNative #AWS #DeveloperExperience