An open-source, composable commerce architecture
In this multi-part series article, we present Radixia Maca, our open-source solution for AI composable commerce.
In this multi-part series article, we present Radixia Maca, our open-source solution for AI composable commerce.
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...
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...
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...
As digital commerce evolves, content becomes more than just a supporting layer—it becomes a strategic asset. In Part 3 of our series on Radixia Maca, our open-source AI-composable commerce stack, we shift our focus to building a robust headless content layer using Strapi CMS.
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In the second part of this multi-part series of articles, we present MACA, our open-source solution for AI-composable commerce. With Radixia Maca, our open-source initiative for AI-driven composable commerce, we're not just rethinking e-commerce—we're re-architecting it. At the heart of this architecture is infrastructure-as-code, which...
In this multi-part series article, we present Radixia Maca, our open-source solution for AI composable commerce.
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...
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”...