Docker, Inc

What if your LLM could just talk to Docker? No extra services or middle layers. We're experimenting with an open source Docker Desktop extension: Instead of wiring up a bunch of MCP servers, just connect your LLM directly to the Docker ecosystem. Want to generate a QR code using a containerized tool? Done. No config changes. No hassle. 💡 It’s AI-native development, with Docker doing the heavy lifting. Watch the demo and try it out for yourself! #Docker #AI #LLM #OpenSource #DevTools #DockerDesktop #DeveloperExperience

It's official: Docker and Java are 🔥 together. At #JavaOne, our President, Mark Cavage (a.k.a. "Crazy Mark" 😆 ), took the stage to share Docker's vision for making Java devs' lives easier. (Did you know? There are 8M+ Java developers and 150M+ monthly image pulls for OpenJDK, Maven, Gradle, and more!) And it’s getting even better with: ✔️ A more secure software supply chain ✔️ Built-in GPU Accelerator for containers ✔️ Seamless LLM support (yes, even for Java devs) Check out his full talk and see how! #Java #AI #DevTools #CloudNative

🖥️ Dev Edition: This or That? Tabs or spaces? Comment everything or let the code speak? Dark mode or light mode? ☕ Watch as Docker Captains and devs debate real-life coding & documentation habits! Docker Captains aren’t just experts—they’re community leaders, mentors, and innovators who help shape the future of development. What’s your take? Drop your picks below! 👇 #Docker #DevDebate #ThisOrThat #CodingLife #DockerCaptains

📰 Want to level up your #MCP server game? Docker Labs has you covered! This month’s edition dives into smarter server design, interactive tool-building, and making the most of #DockerDesktop for MCP servers. Highlights include: 🔹 Over-prompting overload? Learn a smarter way to design your MCP servers. 🔹 Docker Desktop + MCP servers = a powerful duo for devs. 🔹 Interactive tool-building with Docker—because who likes doing it the hard way? Stay ahead of the curve and get bi-weekly Docker Labs for hands-on insights and pro tips! ✔️ Subscribe: http://spklr.io/60444qh4 #Docker #DevOps #CloudNative #Containers

Speed up your builds or keep waiting forever—your choice. 😂 If your build times feel longer than a software update at 2%, it’s time to ditch emulated architectures and go self-hosted with GitHub runners + Docker Buildx. Here’s how to stop suffering and start shipping faster: 1️⃣ Set up a self-hosted runner in GitHub (yes, you’re in control now) 2️⃣ Install Docker & Buildx on your runner machine (because magic needs tools) 3️⃣ Add docker/setup-buildx-action to your GitHub Actions workflow (easy win) 4️⃣ Use native ARM machines (e.g., AWS Graviton) and watch your build times drop faster than your WiFi during a critical deploy. ⚡ Up to 90% faster builds = More coding, less coffee breaks waiting for builds. (Or…keep the coffee, we’re not monsters.) 📖 Full guide here: http://spklr.io/604741Hc #DevOps #PlatformEngineering #Docker #GitHubActions #CICD #FasterThanYourWiFi

Devs, what’s the REAL key to happiness at work? 🤔 #InternationalDayOfHappiness We all know the struggle—long builds, cryptic error messages, and meetings that could’ve been emails. But when things *do* go right, what makes your day? Pick your ultimate happiness booster: 💾 Blazing-fast builds (Because waiting on CI/CD feels like aging in dog years) ☕ Endless coffee supply (Fuel for the code, sanity for the soul) 🔍 Finding the bug in minutes, not hours (A true *Eureka!* moment) 🐳 Docker making your local dev setup actually work (Because "it works on my machine" should be universal truth) Drop your votes and tell us what REALLY makes your job feel less like debugging at 3 AM! 👇 #DevLife #DeveloperHappiness #Docker

What happens when you mix AI, TensorFlow.js, and a classic game of Snake? You get an AI-powered snake that learns from its mistakes and gets better over time—all running inside a Docker container! 🤖 In our latest blog, we break down how to: 🐍 Train a neural network to master Snake 🐍 Use TensorFlow.js for real-time AI in the browser 🐍 Containerize the whole thing with Docker for easy development and deployment Play manually or let the AI take over! Either way, you’ll see ML in action. Try it yourself and read the full breakdown. #MachineLearning #AI #TensorFlow #Docker #DevLife

🐳 New guide alert! If you're working with #Rails and #Docker, you'll love this: an updated guide on automating image builds with GitHub Actions. It’s short. It’s clear. It’s perfect for junior devs (and a great refresher for everyone else). More updates for other languages and frameworks coming soon! #RubyOnRails #GitHubActions #DevOps #Containers

At Big Data & AI World last week we heard developers loud and clear: They said: “We want to learn how to test GenAI apps!” 🧪 GenAI’s non-deterministic nature makes early and integration testing crucial. And, validating application logic that utilizes AI models is essential to ensuring high-quality apps. Today, we’re serving up best practices: ✅ Keyword matching – Simple but fragile ✅ Semantic similarity – More reliable but requires defining a threshold ✅ AI as a judge – Using LLMs to validate responses intelligently 👈 recommended 🙂 Thanks to Testcontainers, setting up these tests is easy—whether you’re building a GenAI app or a standard one. #GenAI #AI #Java #Testing #Testcontainers #Docker

Learnings from the Docker AI team! 👀 We are starting to see that LLMs can get overwhelmed when overloaded with options. That’s where mcp.run and Goose.ai come in. Now, you can seamlessly install and consume MCP servers—think of it as an MCP server marketplace—and get a streamlined way to run LLMs with MCP servers (different from Claude Desktop 😉). In this clip with Colin McNeil, see how it all works! 🎥 #AI #LLMs #MachineLearning #Docker