An open-source, composable commerce architecture
In this multi-part series article, we present Radixia Maca, our open-source solution for AI composable commerce.
AI And Open Source: How we use it to develop our business
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EDAA: Event Driven Agentic Architecture
The AI landscape rapidly evolves beyond isolated, single-purpose agents toward rich ecosystems of specialized agents collaborating to solve complex problems. Google's Agent-to-Agent (A2A) protocol represents a significant step toward standardizing how these agents communicate. However, implementing it at scale requires more than just the protocol itself—it demands...
The Model Context Protocol (MCP): Bridging AI Models with the Digital World - Part 2
Implementation and Usage of MCP Protocol After understanding the technical foundations of the Model Context Protocol in part 1 of this article, the next logical step is to explore how it can be implemented and used in real-world scenarios. This section provides practical guidance on setting up MCP servers, integrating...
The Model Context Protocol (MCP): Bridging AI Models with the Digital World - Part 1
In the rapidly evolving landscape of artificial intelligence, a significant challenge has persisted: how to effectively connect sophisticated AI models with the vast array of external data sources, tools, and services that define our digital ecosystem. While large language models (LLMs) have made remarkable strides in reasoning capabilities and output...
An open-source, composable commerce architecture
In this multi-part series article, we present Radixia Maca, our open-source solution for AI composable commerce.
EDAA: Event Driven Agentic Architecture
The AI landscape rapidly evolves beyond isolated, single-purpose agents toward rich ecosystems of specialized agents collaborating to solve complex problems. Google's Agent-to-Agent (A2A) protocol represents a significant step toward standardizing how these agents communicate. However, implementing it at scale requires more than just the protocol itself—it demands...
Prompt Engineering Cheatsheet
In the age of generative AI, prompt writing has become a core engineering skill. Whether building a chatbot, generating code, or designing autonomous agents, the prompt is your most powerful interface with a Large Language Model (LLM). This post distills the key ideas from Lee Boonstra’s excellent “Prompt Engineering”...
The Model Context Protocol (MCP): Bridging AI Models with the Digital World - Part 2
Implementation and Usage of MCP Protocol After understanding the technical foundations of the Model Context Protocol in part 1 of this article, the next logical step is to explore how it can be implemented and used in real-world scenarios. This section provides practical guidance on setting up MCP servers, integrating...
The Model Context Protocol (MCP): Bridging AI Models with the Digital World - Part 1
In the rapidly evolving landscape of artificial intelligence, a significant challenge has persisted: how to effectively connect sophisticated AI models with the vast array of external data sources, tools, and services that define our digital ecosystem. While large language models (LLMs) have made remarkable strides in reasoning capabilities and output...
