23 Jan 2026

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How to Automate Arm Migration with Docker MCP Toolkit, VS Code, and GitHub Copilot

This post is a collaboration between Docker and Arm, demonstrating how Docker MCP Toolkit and the Arm MCP Server work together to simplify architecture migrations. Moving workloads from x86 to Arm64 architecture has become increasingly important. Organizations seek to reduce cloud costs and improve performance. AWS Graviton, Azure Cobalt, and Google Cloud Axion have made...

23 Jan 2026 2:00pm GMT

22 Jan 2026

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Using MCP Servers: From Quick Tools to Multi-Agent Systems

Model Context Protocol (MCP) servers are a spec for exposing tools, models, or services to language models through a common interface. Think of them as smart adapters: they sit between a tool and the LLM, speaking a predictable protocol that lets the model interact with things like APIs, databases, and agents without needing to know...

22 Jan 2026 7:35pm GMT

Your Dependencies Don’t Care About Your FIPS Configuration

FIPS compliance is a great idea that makes the entire software supply chain safer. But teams adopting FIPS-enabled container images are running into strange errors that can be challenging to debug. What they are learning is that correctness at the base image layer does not guarantee compatibility across the ecosystem. Change is complicated, and changing...

22 Jan 2026 2:00pm GMT

16 Jan 2026

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Making (Very) Small LLMs Smarter

Hello, I'm Philippe, and I am a Principal Solutions Architect helping customers with their usage of Docker. I started getting seriously interested in generative AI about two years ago. What interests me most is the ability to run language models (LLMs) directly on my laptop (For work, I have a MacBook Pro M2 max, but...

16 Jan 2026 1:47pm GMT

15 Jan 2026

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Permission-Aware RAG: End-to-End Testing with the SpiceDB Testcontainer

We use GenAI in every facet of technology now - internal knowledge bases, customer support systems, and code review bots, to name just a few use cases. And in nearly every one of these, someone eventually asks: What stops the model from returning something the user shouldn't see?" This is a roadblock that companies building...

15 Jan 2026 2:00pm GMT

OpenCode with Docker Model Runner for Private AI Coding

AI-powered coding assistants are becoming a core part of modern development workflows. At the same time, many teams are increasingly concerned about where their code goes, how it's processed, and who has access to it. By combining OpenCode with Docker Model Runner, you can build a powerful AI-assisted coding experience while keeping full control over...

15 Jan 2026 1:47pm GMT

14 Jan 2026

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Safer Docker Hub Pulls via a Sonatype-Protected Proxy

Why a "protected repo"? Modern teams depend on public container images, yet most environments lack a single, auditable control point for what gets pulled and when. This often leads to three operational challenges: Inconsistent or improvised base images that drift across teams and pipelines. Exposure to new CVEs when tags remain unchanged but upstream content...

14 Jan 2026 8:27pm GMT

09 Jan 2026

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Security Is a Developer Experience Problem, Rooted in Our Foundations

For more than a decade, the industry has tried to improve software security by pushing it closer to developers. We moved scanners into CI, added security checks to pull requests, and asked teams to respond faster to an ever-growing stream of vulnerabilities. And yet, the underlying problems have not gone away. The issue is not...

09 Jan 2026 4:11pm GMT

06 Jan 2026

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Deterministic AI Testing with Session Recording in cagent

AI agents introduce a challenge that traditional software doesn't have: non-determinism. The same prompt can produce different outputs across runs, making reliable testing difficult. Add API costs and latency to the mix, and developer productivity takes a hit. Session recording in cagent addresses this directly. Record an AI interaction once, replay it indefinitely-with identical results,...

06 Jan 2026 7:16pm GMT

20 Dec 2025

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2025 Recap: The Year Software Development Changed Shape

2025 was the year software teams stopped optimizing models and started optimizing systems. By December, a few truths were impossible to ignore. 1. Developer Productivity Became the Real Competitive Advantage By mid-year, every major AI lab had cleared the "good enough reasoning" bar. With model quality converging, the differentiator was no longer raw intelligence. It...

20 Dec 2025 1:45pm GMT