---
title: "Shopify"
description: "Global commerce platform powering millions of businesses with essential infrastructure and innovative engineering solutions."
---

# Shopify
> Global commerce platform powering millions of businesses with essential infrastructure and innovative engineering solutions.

## Articles

### [Behind the build: 2025's BFCM globe in a pinball machine 🌎🕹️](https://yomu.fyi/post/behind-the-build-2025-s-bfcm-globe-in-a-pinball-machine.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Dec 3, 2025

The 2025 BFCM live globe was implemented inside a browser-based pinball machine to represent real-time merchant sales and celebrate milestones. Built with three.js and react-three-fiber, the experience runs at 120fps, uses Server-Sent Events for order arcs and live metrics, includes a 128x32 shader-driven dot-matrix display, and supports AR through react-three/xr. For performance, the team simulated pinball physics in 2D with Rapier2D and used raycasts for ramps and elevation, reducing the physics step from 2ms to 0.2ms. The scene also includes interactive mini games, infrastructure statistics, Easter eggs, and milestone-triggered reactions, while Apache FlinkSQL pipelines process event streams behind the commerce visualizations. The globe was also displayed on the Exosphere in Las Vegas for the third consecutive year.


### [Run for your money: Engineering a treadmill that prints store credit](https://yomu.fyi/post/run-for-your-money-engineering-a-treadmill-that-prints-store-credit.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Nov 25, 2025

For the 2025 NYC marathon weekend, Shopify and Endorphins Running built a gamified treadmill that awarded in-store credit for maintaining a self-selected pace. Participants had 30 seconds to reach their target, then earned credit for each second spent within a defined pace zone, with a personalized barcode receipt redeemable through a Shopify POS UI extension. The implementation used a curved, motorless TrueForm Trainer, FTMS messages, a Python relay, Socket.IO, a local Remix application, receipt printing, and a production-hosted POS integration. Interval timestamps were normalized because treadmill messages arrived irregularly, while a state machine coordinated warm-up, gameplay, operator controls, database updates, discounts, and printing. The resulting experience attracted new customers, with 63% of participants identified as new customers, and its patterns could support other sensor-driven in-store incentives.


### [How we prepare Shopify for BFCM](https://yomu.fyi/post/how-we-prepare-shopify-for-bfcm.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Nov 20, 2025

Shopify’s BFCM readiness program addresses the challenge of operating critical commerce infrastructure at traffic levels informed by 2024 records, while preparing APIs with no prior holiday-traffic history. Starting in March, teams combined capacity planning on Google Cloud, an infrastructure roadmap, risk assessments, chaos-engineering Game Days, and a Resiliency Matrix covering failure modes, recovery objectives, runbooks, and on-call coverage. Genghis load tests and Toxiproxy network faults ran across three GCP regions, while five April–October scale tests exercised browsing, checkout, analytics, webhooks, regional failover, and cascading failures; testing reached 146 million requests per minute and a p99 target of 200 million. The work exposed and addressed Kafka partition, memory, timeout, routing, queueing, and failover issues, while the operational plan adds monitoring, 24/7 incident coverage, merchant communications, live tuning, and a post-BFCM review.


### [Building world-class product search at Shopify: Where C++ excellence meets ML innovation](https://yomu.fyi/post/building-world-class-product-search-at-shopify-where-c-excellence-meet.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Nov 12, 2025

Shopify describes a product-search stack built for multi-tenant commerce, where real-time indexing, retrieval, ranking, experimentation, and merchant controls must operate at global scale. Commerce ranking combines classical information retrieval with transformers, neural rankers, LightGBM, Catboost, and signals such as relevance, purchase popularity, brand trust, and navigational intent, while supporting privacy, multi-language, and accessibility requirements. RankFlow, a Python-like domain-specific language, lets data scientists change ranking logic without C++ expertise, while TurboDSL compiles and executes it with type safety, vectorized operations, cache optimization, predictable latency, and efficient memory use. The team first shipped SimScorerDSL in C++, then built TurboDSL without changing the DSL syntax, enabling continued experimentation during the transition. TurboDSL achieved a 48% speedup in ranking feature computation, and automated pull-request analysis compares component timings, statistical significance within a ±2% tolerance, and side-by-side results to detect performance or accuracy regressions.


### [How AI Agents are Evolving Shopify's Product Taxonomy at Scale (2025) - Shopify](https://yomu.fyi/post/how-ai-agents-are-evolving-shopify-s-product-taxonomy-at-scale-2025-sh.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Oct 9, 2025

Shopify’s product classification system processes over tens of millions of predictions daily, while its taxonomy contains more than 10,000 categories and 2,000 attributes that must adapt as commerce changes. Manual curation created bottlenecks, expertise gaps, and inconsistencies that could reduce discoverability, search quality, filtering, and classification quality. The proposed AI multi-agent system combines structural analysis with product-driven analysis grounded in merchant titles, descriptions, and categories, then uses intelligent synthesis, equivalence detection, and quality assurance to recommend taxonomy improvements. Agents can search and validate hierarchical relationships, while human experts retain oversight; Shopify tested the method in Electronics > Communications > Telephony against its previous manual expansion approach and presents it as a proactive, scalable way to improve taxonomy consistency before gaps affect merchants and customers.


### [Migrating to React Native's New Architecture](https://yomu.fyi/post/migrating-to-react-native-s-new-architecture.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Sep 5, 2025

Shopify successfully migrated two largest apps, Shopify Mobile and Shopify Point of Sale, to React Native’s New Architecture while continuing weekly releases for millions of merchants. The strategy prioritized minimal code changes, dual-architecture compatibility, and performance and stability parity, with TopHat generating both architecture builds for every pull request. The team upgraded React Native first, updated or removed incompatible dependencies, and changed only native modules that failed under the new architecture rather than migrating all 40-plus modules to TurboModules. Migration issues included state batching, UIManager-related blank screens, shadow-tree manipulation, view flattening, and main-thread legacy module initialization; the reported outcome was maintained development velocity with no feature-development disruption, followed by planned optimization work.


### [Building production-ready agentic systems: Lessons from Shopify Sidekick](https://yomu.fyi/post/building-production-ready-agentic-systems-lessons-from-shopify-sidekic.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Aug 26, 2025

Shopify’s Sidekick evolved from a simple tool-calling system into an agentic assistant that helps merchants manage stores through natural language, exposing scaling challenges in architecture, evaluation, and training. As its inventory grew beyond 50 tools, the system prompt accumulated conflicting special cases and became difficult to maintain; JIT instructions instead return relevant guidance with tool data. For evaluation, the team uses Ground Truth Sets based on production distributions, human labels from at least three product experts, statistical agreement measures, specialized LLM judges calibrated against humans, and merchant simulation. Judge correlation rose from Cohen’s Kappa 0.02 to 0.61 against a human baseline of 0.69, while syntax validation improved from about 93% to 99% after reward-hacking fixes. GRPO training exposed opt-out, tag, and schema hacking, and the post recommends modularity, procedural plus semantic validation, user simulation, and iterative judge refinement for production agentic systems.


### [MCP UI: Breaking the text wall with interactive components](https://yomu.fyi/post/mcp-ui-breaking-the-text-wall-with-interactive-components.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Aug 5, 2025

Model Context Protocol (MCP) can let AI agents search catalogs, interpret reviews, build carts, and support purchases, but a text-only flow does not provide the visual and interactive details central to commerce. Shopify presents MCP UI as an extension that returns embedded UI resources for components such as product cards, with delivery through inline HTML, remote resources in sandboxed iframes, or Remote DOM. Its intent-based message system keeps components from directly modifying state: actions such as view\_details, checkout, notify, and ui-size-change are surfaced for the agent to interpret, while render data lets hosts provide CSS for adaptive styling. The open-source, deliberately extensible protocol is demonstrated in a Shopify Storefront MCP UI Server prototype and is intended for commerce as well as data visualization, form builders, and media players.


### [FlashList v2: A ground-up rewrite for React Native's New Architecture](https://yomu.fyi/post/flashlist-v2-a-ground-up-rewrite-for-react-native-s-new-architecture.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Jul 31, 2025

FlashList v2 is a ground-up rewrite of the React Native list component, aimed at removing v1’s dependence on item-size estimates, native layout corrections, and imprecise scrolling. Built for React Native’s New Architecture, it uses synchronous layout measurements to correct positions before paint and eliminates the need for native code. Its algorithm combines progressive rendering, predictions updated by item type, and rapid corrections, while adaptive rendering responds to scroll velocity, direction, and device performance. The new scrolling system progressively refines target positions for precise scrollToIndex operations, and horizontal lists can contain resizable items and coordinate with parent lists. The release also adds scroll-position maintenance, improved masonry support, recycle-pool controls, helper hooks, and better web support; benchmarks report up to 50% less blank area while scrolling than v1 on the new architecture.


### [Leveraging multimodal LLMs for Shopify’s global catalogue: Recap of expo talk at ICLR 2025](https://yomu.fyi/post/leveraging-multimodal-llms-for-shopify-s-global-catalogue-recap-of-exp.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Jul 16, 2025

Shopify’s Global Catalogue addresses fragmented, multilingual, multimodal product data that makes semantic search, faceting, matching, and AI-driven discovery difficult across millions of merchants. The system combines product data, understanding, matching, and reconciliation layers to standardize metadata, identify duplicate listings, and create canonical records with Universal Product IDs. Shopify fine-tunes vision large language models for multiple tasks per catalogue entity, while streaming infrastructure processes more than 10 million product updates daily and serves 40 million multimodal LLM-powered inferences. The resulting data supports merchant-admin suggestions, search, recommendations, embeddings, and conversational commerce, although scalability, accuracy, latency, model consolidation, graph reasoning, and continuous retraining remain active challenges.


### [Augmented commerce: Machine learning at Shopify](https://yomu.fyi/post/augmented-commerce-machine-learning-at-shopify.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Jul 4, 2025

Shopify frames commerce as a complex, continuous optimization problem in which merchants have different definitions of success and need support across the business lifecycle. Its machine-learning work uses a historical dataset covering millions of businesses to optimize product metadata, transaction fraud assessment, merchant assistance, product discovery, capital decisions, behavioral modeling, and search query rewriting. The systems include fine-tuned Qwen multimodal models, LLaMa models and MCPs for Sidekick, Nomic embeddings for billions of products, a tabular transformer for forecasting merchant GMV, and experiments with HSTU sequence models. To support this work, Shopify partners with GCP, Nebius, CentML, and Toloka, while providing access to GPUs, data services, frontier models, and internal tooling; the post also presents these efforts as part of its hiring pitch.


### [Remixing Shopify's Admin: How We Made It 30% Faster and AI-Ready](https://yomu.fyi/post/remixing-shopify-s-admin-how-we-made-it-30-faster-and-ai-ready.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Jun 30, 2025

Shopify rebuilt its Admin architecture to address inconsistent loading, duplicate requests, and fragmented route knowledge across a TypeScript codebase serving 67 million daily page views. With 101 teams contributing about 350 pull requests daily and the codebase containing 3,184,248 lines of TypeScript, the work adopted Remix with Vite and SPA mode. Typed route manifests, globbed by Vite, now define metadata and a single source of truth for 1,017 routes, while Remix loaders start data fetching before large component bundles finish loading. Idle-time prefetching warms the Apollo cache, and persistent IndexDB storage helps frequently visited pages load between sessions. The changes delivered a 30% improvement in perceived load times, standardized transitions, and created an architecture in which Remix actions and zod schemas let Sidekick discover forms, validate inputs, and submit tasks without loading unnecessary JavaScript.


### [The Future of React Native Graphics: WebGPU, Skia, and Beyond](https://yomu.fyi/post/the-future-of-react-native-graphics-webgpu-skia-and-beyond.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Jun 20, 2025

React Native WebGPU and React Native Skia are presented as a graphics stack for advanced 2D, 3D, and general-purpose GPU workloads in native applications. The work uses Skia Graphite with Dawn, Google’s open-source WebGPU implementation, to replace separate OpenGL and Metal backend implementations with a unified architecture, while enabling Three.js, React Three Fiber, TensorFlow.js, and compute shaders. Three.js Shading Language lets the same shaders target WebGPU and WebGL, and Shopify’s Black Friday globe prototypes run natively with identical results to the web version. Architectural changes in React Native Skia moved from a mutable SkiaDOM to an immutable fabric reconciler, producing reported animation gains of up to 50% on iOS and nearly 200% on Android, plus 98% of reported Android crashes fixed. Graphite remains experimental, but adds dedicated-thread canvases and bidirectional 2D/3D composition, while Skia also supports macOS, tvOS, and headless Node.js rendering.


### [Introducing Roast: Structured AI workflows made easy](https://yomu.fyi/post/introducing-roast-structured-ai-workflows-made-easy.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Jun 18, 2025

Shopify’s Augmented Engineering Developer Experience team built and open-sourced Roast to make AI-assisted developer workflows more reliable than free-form agents operating across large codebases. Roast is a convention-oriented orchestration framework that combines non-deterministic AI behavior with ordinary code execution through YAML workflows, Markdown prompts, shell commands, Ruby steps, and parallel or conditional control flow. Its shared context, built-in tools, Claude Code integration through CodingAgent, and automatic session replay support workflows that are version-controlled, testable, resumable, and adaptive within defined guardrails. Shopify reports using it to analyze test quality at scale, add Sorbet annotations through the Boba workflow, aggregate competitive intelligence, and research code history, while the project is distributed as a Ruby gem and supports AI providers through Raix.


### [Introducing the commerce payments protocol](https://yomu.fyi/post/introducing-the-commerce-payments-protocol.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Jun 12, 2025

Coinbase and Shopify are launching the Commerce Payments Protocol to support real-world commerce onchain, where direct token transfers do not handle checkout, settlement, fulfillment, cancellations, and refunds. The protocol uses an escrow smart contract to authorize payments by moving funds from the payer into escrow, then capture funds for the receiver later or in multiple partial increments. An operator role submits transactions for the parties, while payer-signed payment details constrain fields such as the receiver, token, maximum amount, and expiries. The protocol is available on Base and powers Shopify’s new USDC payment method, which is rolling out to millions of Shopify Payments stores; its six core operations include authorize, charge, void, reclaim, and refund, with the source also describing capture.


### [Resilient Import Maps - Better Theme Development and Beyond](https://yomu.fyi/post/resilient-import-maps-better-theme-development-and-beyond.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: May 28, 2025

Shopify found that JavaScript modules and import maps failed in themes and App Blocks when modules loaded before a map, or when multiple maps collided. These restrictions reflected the requirement that module resolution remain stable, but real pages assembled by themes, apps, Shopify, and extensions could not reliably guarantee ordering or a single map. Working with web-platform contributors, Shopify proposed a reconciliation mechanism with one global import map, a resolved module set, and merging rules that preserve existing resolutions and drop conflicting or unsafe additions. The change reached the HTML specification and shipped in Chromium and WebKit; Chrome supports it from version 133 and Safari from 18.4. Shopify also uses es-modules-shim support for browsers without native support, while Firefox support is hoped for.


### [Evolution of Product Classification at Shopify: From Categories to Comprehensive Product Understanding](https://yomu.fyi/post/evolution-of-product-classification-at-shopify-from-categories-to-comp.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: May 8, 2025

Shopify’s product classification system evolved from a 2018 logistic-regression model using TF-IDF into a product-understanding platform designed to capture categories, attributes, characteristics, metadata, and content-safety signals. A 2020 multimodal image-and-text approach improved classification, but growing product complexity led Shopify to combine Vision Language Models with its Standard Product Taxonomy, spanning more than 10,000 categories and over 1,000 attributes across more than 26 business verticals. The production pipeline uses two-stage category and attribute prediction, with category context shaping the second call, and runs on Kubernetes with NVIDIA GPUs; FP8 quantization, Nvidia Dynamo in-flight batching, and KV caching improve inference efficiency. A multi-LLM annotation system independently evaluates products and uses arbitration when models disagree, helping build training data for consistent predictions. The resulting system processes over 30 million predictions daily, delivers an 85% predicted-category acceptance rate, and doubles hierarchical precision and recall versus the earlier neural network approach.


### [Mobile Bridge: Making WebViews Feel Native](https://yomu.fyi/post/mobile-bridge-making-webviews-feel-native.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Apr 25, 2025

Shopify’s mobile app has about 600 screens, but building every non-critical screen natively or in React Native was costly and slowed development, while conventional WebViews felt slow, disconnected, and out of place. Mobile Bridge addresses this hybrid-app problem with native iOS and Android modules that preload, authenticate, cache, and reuse WebViews, reducing P75 load time from 6 seconds to 1.4 seconds, including network latency and rendering. Built on @remote-ui/rpc, the framework uses JavaScript, CSS, Polaris overrides, title and action APIs, TransportableView, snapshots, and native modal transitions to preserve state and align web screens with native navigation and appearance. WebViews can also invoke native features such as date pickers, barcode scanning, and Add to Wallet; Shopify says the standalone library is being adopted across other products while critical features remain native or React Native.


### [Five years of React Native at Shopify](https://yomu.fyi/post/five-years-of-react-native-at-shopify.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Jan 13, 2025

Shopify reviews five years of using React Native (RN) as its mobile strategy, adopted to avoid duplicating features across iOS and Android, improve talent portability, and ship more value. Over that period, all of its apps migrated to RN through team-led, non-uniform plans, while native code remained part of the architecture rather than an alternative to eliminate. The company reports sub-500ms P75 screen loads in the Shopify app, similar performance across its apps, and more than 99.9% crash-free sessions, while noting that performance depends on applying sound patterns. Its experience credits hot reloading and TypeScript with developer productivity and cross-platform staffing, but identifies debugging, RN upgrades, and third-party dependency maintenance as costs. Shopify now emphasizes shared libraries, native expertise for platform-specific work, continued New Architecture adoption, and collaboration with the RN ecosystem.


### [How We Built the BFCM 2023 Globe](https://yomu.fyi/post/how-we-built-the-bfcm-2023-globe.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Oct 30, 2024

The 2023 BFCM Globe is a real-time visualization of purchases made through Shopify-powered merchants worldwide, with animated arcs, city dots, fireworks, camera movement, atmospheric noise, stars, and a custom material. Performance was a central concern because the earlier approach used a separate mesh and draw call for every arc, causing more than 1,000 simultaneous arcs to slow some mobile devices. The revised arc system uses instancing, interleaved per-arc attributes, and vertex-shader Bézier deformation, allowing tens of thousands of arcs in one draw call and an initial benchmark of up to one million arcs on an M1 laptop. Other effects were similarly consolidated, including billboarded point particles for cities and single-draw-call fireworks, while 2D psrdnoise and a stripped-down shader reduced rendering cost. The result combines richer visuals with substantially greater rendering capacity.


[Newer posts](https://yomu.fyi/company/shopify.md) · [Older posts](https://yomu.fyi/company/shopify/page/3.md)