Every day, thousands of developers are creating and editing Compose files.At Docker, we are regularly adding more features to Docker Compose such as the new provider services capability that lets you run AI models as part of your multi-container applications with Docker Model Runner.We know that providing a first-class editing experience for Compose files is key to empowering our users to ship amazing products that will delight their customers.We are pleased to announce today some new additions to the Docker Language Server

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Agentic applications – what actually are they and how do we make them easier to build, test, and deploy?At WeAreDevelopers, we defined agentic apps as those that use LLMs to define execution workflows based on desired goals with access to your tools, data, and systems.  While there are new elements to this application stack, there are many aspects that feel very similar.In fact, many of the same problems experienced with microservices now exist with the evolution of agentic applications. Therefore, we feel

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Intro

Local development can be challenging when apps rely on external services like databases or queues, leading to brittle scripts and inconsistent environments.Fiber v3 and Testcontainers solve this by making real service dependencies part of your app’s lifecycle, fully managed, reproducible, and developer-friendly. With the upcoming v3 release, Fiber is introducing a powerful new abstraction:Services. These provide a standardized way to start and manage backing services like databases, queues, and cloud emulators, enabling you to manage backing services

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At Docker, we always believe in the power of community and collaboration.It reminds me of what Robert Axelrod said in The Evolution of Cooperation:“The key to doing well lies not in overcoming others, but in eliciting their cooperation.” And what better place for Docker Model Runner to foster this cooperation than at Hugging Face, the well-known gathering place for the AI, ML, and data science community.We’re excited to share that developers can use Docker Model Runner as the local inference engine for running

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The non-deterministic nature of LLMs makes them ideal for generating dynamic, rich test data, perfect for validating app behavior and ensuring consistent, high-quality user experiences.Today, we’ll walk you through how to use Docker’s Model Runner with Microcks to generate dynamic mock APIs for testing your applications. Microcks is a powerful CNCF tool that allows developers to quickly spin up mock services for development and testing.By providing predefined mock responses or generating them directly from an OpenAPI schema, you can point your applications to

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