There’s a weird contradiction in modern AI development.We have better tools than ever.We’re building smarter systems with cleaner abstractions.And yet, every time you try to swap out a component in your stack, things fall apart.Again. This isn’t just an inconvenience.It’s become the norm. You’d think with all the frameworks and libraries out there (LangChain, Hugging Face, MLflow, Airflow) we’d be past this by now.These tools were supposed to make our workflows modular and composable.Swap an embedding model?No problem.

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A practical approach to escaping the expensive, slow world of API-dependent AI

The $20K Monthly Reality Check

You built a simple sentiment analyzer for customer reviews.It works great.Except it costs $847/month in API calls and takes 2.3 seconds to classify a single review.Your “smart” document classifier burns through $3,200/month.Your chatbot feature?$15,000/month and counting.

The Shared Pain:

Bloated AI features that drain budgets faster than

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Hi, I’m Philippe Charriere, a Principal Solutions Architect at Docker.I like to test new tools and see how they fit into real-world workflows.Recently, I set out to see if JetBrains’ Koog framework could run with Docker Model Runner, and what started as a quick test turned into something a lot more interesting than I expected.In this new blog post, we’ll explore how to create a small Koog agent specializing in ratatouille recipes using popular Docker AI tools (disclaimer:I’m French).We’ll be using:

Koog

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This is Part 2 of our MCP Horror Stories series, an in-depth look at real-world security incidents exposing the vulnerabilities in AI infrastructure, and how the Docker MCP Toolkit delivers enterprise-grade protection. The Model Context Protocol (MCP) promised to be the “USB-C for AI applications” – a universal standard enabling AI agents like ChatGPT, Claude, and GitHub Copilot to safely connect to any tool or service.From reading emails and updating databases to managing Kubernetes clusters and sending Slack messages, MCP creates a standardized bridge between

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Federal Risk and Authorization Management Program (FedRAMP) compliance costs typically range from $450,000 to over $2 million and take 12 to 18 months to achieve, time your competitors are using to capture government contracts.While you’re spending months configuring FIPS cryptography, hardening security baselines, and navigating 400+ security controls, your competitors are already shipping to federal agencies.Companies that want to sell cloud products and services to the US government must meet the rigorous requirements of FedRAMP, which mandates they implement the expansive security controls described in NIST

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