Shopify Engineering

We built Remote Dev so AI agents can build and test apps in parallel, without maxing out developers’ laptops.

Gisting compresses context into a set of learned tokens, preserving its quality while making the model faster and cheaper.

We built an agentic code review and test oracle harness that discovers vulnerabilities, proves them with real tests, and provides Shopify-tuned fixes.

Building an LLM-powered pipeline to match product listings across millions of merchants into a unified catalog that AI agents can search.

Production training data only captures successful queries; it can't teach a model when to say no. We built an automated curation pipeline using LLM judge consensus to close that gap.

Quick lets anyone at Shopify ship a site in seconds. It has changed the culture of how we build and share.

We fine-tuned Qwen3-32B into a tool-calling agent that generates Flow automations from natural language—faster, cheaper, and more accurate than the frontier model it replaced, with a weekly retraining flywheel built on real merchant data.

The technical blueprint for an AI-powered mirror that sees customers, analyzes their appearance, and delivers personalized product recommendations in real-time.

Treating buyer journeys as sequences instead of simplified signals, and building a model fast enough to serve at scale.

GPUs are annoying. Shopify uses SkyPilot to make them less so: one YAML file, multiple clouds, clean development ergonomics.

Last year, over 875 million people bought items from Shopify merchants. Building on our prior Vision Language Model-based product classification, this post explores how AI agents are evolving the taxonomy itself.

Learn how we evolved our AI assistant architecture and built robust evaluation frameworks for real-world deployment.

MCP UI extends the Model Context Protocol to enable AI agents to return fully interactive UI components. It solves the critical challenge that commerce experiences require visual and interactive elements like product selectors, image galleries, and cart flows. This open-source protocol allows agents to embed commerce components while maintaining control through an intent-based messaging system, delivering shopping experiences that go far beyond traditional text-only AI interactions.

Our Global Catalogue demonstrates the impact of multimodal LLMs on one of commerce’s hardest problems: building a unified, structured, and continuously evolving understanding of billions of product listings created by millions of merchants.

Commerce is a dynamic ecosystem where our mission is to empower every merchant to succeed. We optimize each step of their journey—from product creation to customer delivery—using advanced tools, infrastructure, and partnerships to solve a complex optimization challenge.

Learn how we just made Shopify's Admin 30% faster while setting it up for AI superpowers. We overhauled admin.shopify.com, transforming the system that supports 67 million daily page views and empowers merchants in managing their businesses.

Our Augmented Engineering DX team tackles developer productivity challenges like flaky tests and low test coverage using AI agents. We discovered breaking complex tasks into discrete steps was key to reliable AI performance, leading to the creation and open-sourcing of Roast, a tool designed to structure AI workflows effectively.

Learn how Shopify Data built new online inference capabilities into its Machine Learning Platform to deploy and serve models for real-time prediction at scale.