Medusa V2 How to Set Up a Headless E-Commerce Platform
A comprehensive guide that explains the headless commerce architecture—including product listing, cart, checkout, workflow, and operations layers—end-to-end using Medusa v2.
Read More →Notes on design systems, frontend craft, motion and the quiet discipline of building things well.
In this article, I provide an end-to-end overview of the payment architecture in a Medusa v2-based storefront—including payment collection, payment sessions, provider selection, custom provider development, and order completion via webhooks.
Read More →A comprehensive guide that explains the headless commerce architecture—including product listing, cart, checkout, workflow, and operations layers—end-to-end using Medusa v2.
Read More →In this guide, I explain how to design cart ID management, line item updates, checkout steps, error messages, and custom fields in a Medusa v2-based storefront.
Read More →A hands-on guide explaining how to structure the grid, product cards, category structure, design system, and checkout steps in a premium storefront design.
Read More →I’m explaining how to set up a content management system using the Next.js frontend, Express API, Prisma, PostgreSQL, Cloudinary, and DeepL.
Read More →I explain how to set up end-to-end business automation using lead generation, message classification, AI-generated response templates, a queue system, and a dashboard.
Read More →A service-oriented web application design featuring a reservation form, WhatsApp integration, date format, multilingual support, and an admin panel.
Read More →I’m explaining the process of collecting competitor data, generating signals, generating reports using AI, and converting them into a to-do list on the dashboard.
Read More →I’m explaining the AI image pipeline architecture that analyzes product images, generates prompts, queues the generation task, and saves the result.
Read More →I’m explaining the process of normalizing Instagram comments and lead streams, identifying user intent, integrating them into a real-time dashboard, and generating quick responses.
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