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NestJS Winston Logger: How to Save Logs to a Database
Persist NestJS logs to a database with Winston: complete code for the custom transport, TypeORM Log entity, and Logger module, working walkthrough from Endertech engineers.
ARIA Discipline on Hydrogen: Badges, Cards, and Names Scanners Miss
Part 3 of the Converge Accessibility craft series: promo badges, product cards, and illegal ARIA names/roles that green scanners miss, and how Hydrogen teams clean them up without making announcements worse.
Serving a Broader Audience Through Localization
Localization can be as simple as translating text on a website’s pages, or as complex as providing different sets of pages, images, and data. The number one reason to add localization is increasing your site’s audience. For a commercial or ecommerce site, a larger audience means increased revenue.
The Shopify Theme and Online Store Editor Explained
Article that breaks down the Shopify Theme and Online Store Editor in order to make better design decisions for your Shopify store.
Shopify Plus B2B: A Guide to B2B Merchant Features
A guide that explores the best Shopify Plus B2B features using a Shopify Plus plan. Learn how Shopify for B2B simplifies your B2B business.
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.
STORIS to Shopify Inventory Sync: SKU, Location & Reconciliation Workflow
Sync STORIS inventory to Shopify with clear ownership rules, SKU and location mapping, verified writes, and reconciliation that catches stock drift before customers do.
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.