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Software development has always evolved, from hand-written assembly code to powerful frameworks and libraries that streamline work. Now, AI-powered code generation is taking center stage, and tools like Codegen are redefining how developers write, manage, and deploy code. But is Codegen truly the future of coding? Let's explore its capabilities and how it can transform the way we build software.

In today’s rapidly evolving digital environment, e-commerce platforms must maintain flexibility, scalability, and intelligence to keep businesses competitive. SaySo, the principal developer of the Ashley X Descend auction platform for Ashley Homestore, has turned to Medusa—a headless, open-source e-commerce platform—to meet these demands. By coupling Medusa’s dynamic workflows with AI expertise from Lambda Curry, enterprise retailers like Ashley Homestore are experiencing more efficient operations and cutting-edge innovation.

E-commerce is undergoing a transformation, and AI is at the center of it. As platforms evolve, the ability to integrate AI-powered workflows directly into store management systems is becoming increasingly valuable. In my latest project, I’ve been experimenting with Medusa 2, Anthropic’s Model Context Protocol (MCP), and Vercel’s AI SDK to create an AI-powered storefront experience.

Some friends in a coding chat I’m part of were asking about how to get better at AI-driven coding. They were wondering if the issues they were facing stemmed from a skill gap, poor prompts, a lack of understanding of the tools, or if the tools themselves just weren’t that good. It’s a fair question — especially when you see people online doing seemingly incredible things with AI. Are those people just better at prompting, or is there something deeper going on?

The Lambda Curry Medusa 2.0 Starter Kit offers a scalable, customizable e-commerce foundation powered by Medusa2's flexible, open-source backend.

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