Company engineering blog
Stories and resources from the teams who build and scale Shopify, the leading cloud-based, multi-channel commerce platform.
11 posts in the last 90 days · newest 1 Oct
ShopGym creates realistic online stores and generates shopping tasks based on each store’s products and features. Developers can then repeatedly test shopping agents under consistent conditions.
We built Helix to help LLMs rebuild the Shopify app in Swift and Kotlin, using small checkpoints and strict quality gates to keep the code shippable.
We migrated the Shop app from React Native to Swift and Kotlin. Assisted by AI, the team was able to go from a proof of concept to a fully rebuilt native app published in the app stores in just 12 weeks.
Coding agents changed what it costs to build mobile apps twice. Here’s why Shopify is moving from React Native back to Swift and Kotlin.
River, Shopify’s AI agent in Slack, enables autonomous vulnerability remediation, not just detection.
Gisting compresses context into a set of learned tokens, preserving its quality while making the model faster and cheaper.
We rebuilt our mobile end-to-end testing framework with a strict API and computer vision, raising test stability drastically.
How we compress production failures into model weights every day, beat frontier-model quality, and cut serving costs 96%.
We built an agentic code review and test oracle harness that discovers vulnerabilities, proves them with real tests, and provides Shopify-tuned fixes.
We moved five high-traffic checkout extensions to remote-dom and Polaris web components, cutting bundle sizes drastically and making checkout faster.
How a Hack Days team built a music player, custom GLSL visualizers, and an artist toolkit for storefronts, all in three days.
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.
What it took to ship our Slack-native agent River, lessons learned, and the substrate that runs beneath it. Co-authored by River.
How we used SKIP LOCKED, composite primary keys, and connection visibility to hit our scale targets.
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.
Tobi and I generalized Karpathy’s Autoresearch to improve 40+ metrics across Shopify, then we open-sourced our project.
The technical blueprint for an AI-powered mirror that sees customers, analyzes their appearance, and delivers personalized product recommendations in real-time.
Conventional GraphQL execution uses depth-first traversal that incurs many hidden costs. We questioned why, rewrote it in a faster breadth-first manner, and saw dramatic results.