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We Replaced Shopify Search With AI — Here’s What Actually Happened
How we built a custom MCP + OpenSearch product discovery system—and what real customers are already doing with it.
What is Edge Computing in Web and Software Development?
The article goes over what Edge Computing is and why it's important. It also touches on the role of software development and the new possibilities that edge computing can bring to societies.
How to Prepare Your Product Catalog for AI Shopping (Without Starting Over)
Shoppers are asking ChatGPT and similar tools plain questions before they land on your product pages. If your catalog only has thin titles and generic five-star reviews, those models have little to work with. This guide covers four practical fixes; structured attributes, conversational descriptions, detailed FAQs, and story-driven reviews, plus how that overlaps with SEO. Your content should answer the questions customers already ask.
Exploring GraphQL in Magento: Unlocking the Full Potential of Headless Architecture
Learn about GraphQL and why it is useful for Magento 2 developers. Discover the requirements and steps involved in using GraphQL in Magento 2.
Why Use ReactJS for Enterprise App Development
Find out what makes ReactJS the framework likely to boost productivity and increase work efficiency in your enterprise app development and the apps it builds.
Integrating Avalara with Shopify Checkout to Clearly Show Recycling Fees
Some states require mattress recycling fees to appear as their own tax line during checkout. This article walks through how we combined Avalaras AvaTax API, Shopify metafields, middleware, and Checkout UI extensions to display a clear tax and recycling-fee breakdown in Shopify checkout for two brands.
Customer Journey Series Pt 4 - Software Development Estimate: Upfront vs Time-Based Estimates
Understanding a Software Development Estimate is important. Let's simplify software estimates & why project management style matters.
How I Used AI and Python to Validate STORIS and Inntopia Data for Planning, Mapping, and Pattern Finding
I do not dump whole exports into a chatbot. I use an LLM to help write tight Python that answers one question at a time, prove it on a small sample, then run it locally larger data sets. That keeps work repeatable, cuts token cost, and keeps sensitive fields off hosted tools while I plan integrations and product mapping.