Decision criteria
Pattern evaluation before implementation scope.
Reviewed
Example directory
Use this directory to compare implementation patterns, source evidence, and the production lesson behind each example.
The decision here is pattern fit: what the example proves, which storefront constraint it addresses, and what still needs to be scoped before production use.
Decision path
Use these criteria to judge whether this path matches the work, evidence, and ownership your storefront needs.
Decision criteria
Pattern evaluation before implementation scope.
Deliverable focus
A source, practical takeaway, related production risk, and next internal path for each example.
Proof standard
Official sources and approved production notes rather than an unsourced inspiration gallery.
Examples
Use these examples to learn what the pattern teaches, then follow the internal link when the pattern becomes a production requirement.
Example
A full-featured official Hydrogen demo store with real routes, data loading, cart, and product patterns.
It is the clearest public reference for what a production-like Hydrogen storefront skeleton can include before a merchant-specific build starts.
Study route ownership, loader boundaries, product page composition, and how much storefront logic moves into application code.
Example
A quickstart Hydrogen project backed by example Mock.shop data.
It is useful for learning the default route set before real product, collection, account, and policy data complicates the project.
Treat quickstart success as environment proof, not as production readiness.
Example
A storefront connected to GitHub with production and preview environments.
Hydrogen launch safety depends on preview URLs, environment variables, branch mapping, and production verification.
Scope deployment workflow before content and SEO QA, not after the first release candidate.
Example
A PDP pattern where selected options, fallback variants, URLs, and availability must agree.
Variant state bugs create shopper confusion and can make structured data describe the wrong visible product state.
Lock the shopper's selected option first, then choose fallbacks inside that constraint.
Example
A product page that puts important description and buying context into initial HTML.
Client-only product copy can make shoppers, crawlers, and AI agents miss the content that explains the product.
Important PDP content belongs in the route data and server-rendered response.
Example
A collection listing where out-of-stock products, filters, and pagination state need one rule.
Collection bugs often hide products from the initial page even when Shopify data is correct.
Compare Storefront API data, app-local buffers, SSR cards, filter counts, and load-more behavior together.
Example
A page-specific content section controlled by Shopify metaobjects and rendered through Hydrogen.
This is often the middle path between hardcoded landing pages and a full external CMS.
Use metaobjects for structured merchant-editable content, but keep primary content server-rendered.
Example
A homepage media pattern where image timers and active video completion should not share one rule.
A polished homepage can feel broken if inactive videos or fixed timers advance the carousel at the wrong moment.
Only the active video should control video-slide completion.
Example
A storefront path where customer recognition, partner pricing display, and checkout-safe discounts align.
Partner pricing becomes fragile when recognition, PDP display, cart math, and checkout rules live in separate hacks.
Model eligibility cleanly and keep the catalog canonical.
Example
A Hydrogen SEO example where crawl surfaces are owned by the app, not by a Shopify theme file.
Custom storefront SEO breaks quietly when rendered HTML, canonical URLs, sitemap, robots, and schema drift apart.
Validate source HTML and crawl files before launch, then recheck production after deploy.
Related links
Next Step
Send the current store URL and the example or storefront behavior you want to evaluate. I will help separate a bounded build, an audit, Liquid improvement, and no rebuild.
The free first review recommends a scope. If the risks need a detailed paid review, I will explain that before you commit.
Work directly with Emre, from scope review to launch.