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Model Context Protocol (MCP)

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Blog Post

Beyond Claude & GPT

Sure, we enjoy trying out the latest frontier model as much as anyone. But in day-to-day project work, what matters most is control over cost, data, and availability. That’s why we increasingly rely on open-weights models paired with open source tooling. Here’s what our setup looks like.

Blog Post

Nebu: Self-made sovereignty

There are plenty of open-source alternatives to Slack. None of them deliver real sovereignty. Community editions are deliberately pared down so no company can run them in production, while enterprise features sit behind commercial licenses. This article shows why “building it yourself” is no longer a utopian idea today, but a realistic option for anyone with a product vision and a bit of DIY courage.

Blog Post

AI Features for Jira Data Center – No Atlassian Cloud Required

Our Digital Independence Day recipe for going off-cloud

Blog Post

Spec-Driven Architecture: When Agents Build, Architecture Must Speak

Spec-Driven Development gives agents a clear foundation for implementation. What it doesn’t solve is how a portfolio of systems stays coherent. Spec-Driven Architecture applies the same principle at the architecture level, using contracts as versioned boundaries and guarantees—enforceable in agentic workflows and in the CI/CD pipeline.

Blog Post

Let’s Not Normalize Insecure AI Assistants

AI assistants like OpenClaw promise convenience, autonomy, and increasingly personalized help. But beneath that promise lies an architecture that quietly combines private data, internet access, and exposure to untrusted content—the lethal trifecta of security risk. Sandboxing and physical isolation help, but they don’t address the core problem. As we add more capabilities, the potential blast radius only grows. This post is a case for slowing down, questioning defaults, and refusing to normalize insecure architectures.

Blog Post

AI and Elaboration: Which Coding Patterns Build Understanding?

Developing with AI through the cognitive Lens

Blog Post

From Data Graveyards to Knowledge Landscapes

Europe is sitting on a wealth of public data—but much of its potential remains untapped. The challenges are well known: fragmented portals, incompatible interfaces, and growing reliance on non-European platforms that slow innovation. While new industrial data spaces are emerging—enabling secure and sovereign exchange of sensitive information—public and industrial data ecosystems remain largely siloed. This article explores how Artificial Intelligence (AI) and the Model Context Protocol (MCP) can help bridge that gap and accelerate Europe’s shift from Open Data to Open Knowledge—supporting digital sovereignty and delivering greater value to society.

Blog Post

AI — Behind the Buzzword Garbage

Tired of AI hype? Me too. But beneath the buzzwords lies real value for developers. Tools like Claude Code save me hours on routine tasks, freeing me to focus on what matters: understanding problems and building the right solutions. It’s not magic—it’s practical support that makes development faster without replacing our core skills.

Blog Post

Beyond the hype: An engineer’s journey into ReBAC and AI with the Model Context Protocol
Blog Post

Building Standardized AI Tools with the Model Context Protocol (MCP)

In this article, we’ll explore the integration of Large Language Models and systems built on top of them. The key concept in this space recently is the Model Context Protocol (MCP).

News

From Consultant to Founder: We are founding Entropy Data