How we review AI-generated code (and why it matters)
Transparency on our process: what AI generates, what a senior engineer always reviews, and why that matters in retail.
We use AI internally to accelerate scaffolding, tests, and documentation. Nothing reaches production without structured code review by a senior engineer.
Architecture, security, payment and inventory integrations are always defined by a human. AI proposes; the team validates against business requirements.
Is your catalog ready for shopping agents?
Free diagnosticEvery PR includes a checklist: error handling, token/cost limits, regression tests on critical flows, and sensitive data validation.
In retail this is critical: a bug in availability or pricing scales to thousands of wrong orders before anyone notices.
We publish this process because many clients' unspoken objection is "did an AI build this unsupervised?" The honest answer is hybrid — and controlled.
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