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As agents become capable enough to write and refactor code, they should work natively inside the environments developers work in: editors. That’s why JetBrains and Zed are co-developing ACP, the Agent Client Protocol. ACP gives agents and editors a shared language, so any agent can read context, take actions, and …
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At Docker, we are committed to making the AI development experience as seamless as possible. Today, we are thrilled to announce two major updates that bring state-of-the-art performance and frontier-class models directly to your fingertips: the immediate availability of Mistral AI’s Ministral 3 and DeepSeek-V3.2, …
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Trust is the most important consideration when you connect AI assistants to real tools. While MCP containerization provides strong isolation and limits the blast radius of malfunctioning or compromised servers, we’re continuously strengthening trust and security across the Docker MCP solutions to further reduce …
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For most developers, getting started with AI is still too complicated. Different models, tools, and platforms don’t always play nicely together. But with Docker, that’s changing fast. Docker is emerging as essential infrastructure for standardized, portable, and scalable AI environments. By bringing composability, …
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Embeddings have become the backbone of many modern AI applications. From semantic search to retrieval-augmented generation (RAG) and intelligent recommendation systems, embedding models enable systems to understand the meaning behind text, code, or documents, not just the literal words. But generating embeddings comes …
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