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Emmanuel Yakubu
Emmanuel Yakubu

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Built a deterministic checker that catches the specific ways AI-generated frontend code breaks against real Wix/Shopify/Webflow stores

Been noticing a pattern: AI coding tools generate frontend code that looks completely correct — compiles, renders, looks right in the browser — but breaks in specific, predictable ways once it touches a real commerce backend.

Some concrete examples:

Passing a product ID to a cart-add call when the platform actually needs a variant ID (Shopify does this)
Rendering a price object directly instead of its formatted value (shows customers "4999" instead of "$49.99")
Building a custom checkout/payment form for a platform whose ToS requires redirecting to a hosted checkout (Wix, for one)
Hardcoding what looks like a secret/API key straight into a component
None of these throw an error at build time. They just quietly do the wrong thing until a real customer — or a real audit — catches them.

I built a deterministic (no AI involved) checker for this — paste a component, it flags these specific patterns with the exact line and why. For a connected project, it also checks field access against your store's actual data, not a generic schema.

It's part of Trama (a Wix/Shopify/Webflow headless bridge I work on), live now on every plan: gotrama.com/developers#correctness

Full disclosure: I work on this product, not trying to sneak in an ad — genuinely curious if others are running into the same class of bug with AI-generated commerce code, and what patterns you're seeing that aren't covered yet.

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