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How AI Is Rewriting the Shopify Developer Journey in 2025 (and How to Start Today)

7 min read

How AI Is Rewriting the Shopify Developer Journey in 2025 (and How to Start Today)

How AI Is Rewriting the Shopify Developer Journey in 2025 (and How to Start Today)

How AI Is Rewriting the Shopify Developer Journey in 2025 (and How to Start Today)

TL;DR: AI is moving from “nice-to-have” code suggestions to a first-class development layer for Shopify. With the Shopify Dev MCP server connecting your AI assistant directly to live docs, API schemas, and Function references—and Sidekick generating Liquid blocks in the theme editor—dev speed, accuracy, and collaboration take a major step forward.

Why AI matters to Shopify developers right now

Two things changed the game this year:

The Shopify Dev MCP server (Model Context Protocol) lets AI tools like Cursor or Claude Desktop query Shopify docs, introspect GraphQL schemas, validate code, and even guide you through Functions work from right inside your editor or chat. That means fewer context switches and less guesswork about API shapes or best practices.

AI-generated theme blocks in the theme editor, powered by Shopify Magic and accessible through Sidekick, let merchants (and developers) spin up new Liquid blocks from natural-language prompts—then keep or refine them with standard theme tooling.

Add in Summer ’25 updates like Polaris unified web components and an AI-first Hydrogen cookbook, and you’ve got an ecosystem that assumes AI is in the loop from design system to storefront code.

What the Shopify Dev MCP server does

Think of Dev MCP as a local bridge that gives your AI assistant the same authoritative context you’d find on Shopify.dev—but structured as tools it can call:

  • search_docs / fetch_full_docs: Pull precise, current content from Shopify docs.
  • introspect_admin_schema: Explore Admin GraphQL types/fields/operations before you write a single query.
  • validate_graphql_codeblocks: Sanity-check that the fields you wrote actually exist.
  • validate_theme / validate_theme_codeblocks (experimental): Run Liquid/Theme validations, including Theme Check-style diagnostics, either for snippets or whole themes.

Supported surfaces today include the Admin GraphQL API and Functions, with optional Polaris and Liquid support that you can enable via environment flags.

Quick start: connect Cursor or Claude Desktop to Dev MCP

Ensure Node 18+ and an AI dev tool that supports MCP (Cursor or Claude Desktop).

Run the server locally:

npx -y @shopify/dev-mcp@latest

Add this to your AI tool’s MCP configuration (example for Cursor):

{ "mcpServers": { "shopify-dev-mcp": { "command": "npx", "args": ["-y", "@shopify/dev-mcp@latest"], "env": { "POLARIS_UNIFIED": "true", // optional "LIQUID": "true" // optional } } } }

This turns on Polaris docs (experimental) and Liquid validation (experimental) so your assistant can help with UI components and theme code reviews.

Tip: You can opt out of telemetry via OPT_OUT_INSTRUMENTATION=true. Windows users can use the cmd /k npx ... variant if needed.

Real workflows AI makes faster (and safer)

1) Admin GraphQL, minus schema spelunking

Ask your AI assistant: “Create a mutation to add a product with two variants and metafields, then validate it.” The MCP server will:

  • Look up the current schema,
  • draft a mutation with correct types/fields,
  • Run a code-block validation so you don’t ship phantom fields.

2) Shopify Functions with accurate scaffolds

Instead of piecing examples together, ask for “a Function to auto-tag orders over $300 and add a banner at checkout.” Your assistant can pull the latest Function references and examples via Dev MCP so your scaffolds match current APIs.

3) Theme & Liquid guardrails

Turn on Liquid validation and have the AI review snippets or whole themes for syntax, missing references, and common Theme Check issues—before opening a PR.

4) Polaris UI with one source of truth

With Polaris unified components in preview, your AI can surface usage patterns and props consistently across Admin/Checkout/Customer Accounts. That reduces “component drift” when you implement the same pattern in multiple surfaces.

5) Hydrogen recipes, now AI-first

The Summer ’25 cookbook leans into coding agents: ask for a headless bundles example, combined listings, or subscriptions flow and get a runnable skeleton updated for React Router 7 (formerly Remix).

Sidekick + Shopify Magic: generating Liquid blocks (the right way)

Yes—you can literally ask for a block and get Liquid. In the theme editor, click Add block → Generate, describe what you want, preview, then Keep to save it. The new .liquid file lands in your theme’s /blocks folder and can be edited like any other block.

Key details developers should know:

  • Generated blocks aren’t sections. Shopify wraps them in a platform-provided section named _blocks.liquid when you generate a block “into a new section” (e.g., via Sidekick). You can override this wrapper by adding your own _blocks.liquid to enforce layout/spacing/brand rules.
  • To make a section accept AI-generated blocks, include {"type": "@theme"} in that section schema’s blocks array. This flags the section as compatible with generated blocks.
  • Shopify Support won’t debug your AI-generated code for you—treat it like any contributed code: review, test on desktop & mobile, accessibility-check, and performance-profile before publishing.

A practical flow:

In the theme editor, prompt Sidekick:
“Create a testimonial block with avatar, name, quote, and a star rating. Include settings for text color and a ‘Show on mobile’ toggle.”

Keep and commit the generated block.

If you want a dedicated section around it, add your own _blocks.liquid wrapper that applies theme-level spacing and background utilities, then re-use the block anywhere that accepts theme blocks.

What else can you do with AI on Shopify?

  • Content & merchandising: product descriptions, translations, collection copy, and tone adaptation with Shopify Magic and Sidekick—now with voice/chat quality improvements to help non-technical users execute faster.
  • Checkout & pricing intelligence: draft Functions (discounts, validation, cart transforms) with MCP-assisted prompts and then harden them with tests.
  • Personalization/search: combine Hydrogen patterns with AI retrieval/ranking, then use Admin GraphQL to hydrate dynamic experiences with real inventory/prices.
  • Storefront agents (early access): Shopify’s MCP work on storefronts and customer accounts is emerging; it’s designed to let agents tap real-time commerce data for customer-facing interactions. Track the early-access notes in the docs.

Implementation blueprint for teams

Adopt Dev MCP in your editor stack. Enable LIQUID and POLARIS_UNIFIED flags to get the most help during reviews. Gate this behind a feature flag if you need a gradual rollout.

Define “AI PR hygiene.” Require MCP validation for GraphQL and Liquid in CI before merging. Store prompts alongside code (e.g., in .ai/ notes) to make outputs reproducible.

Harden Sidekick output. Make an internal checklist: Lighthouse + Theme Check + a11y scan + mobile preview for all AI-generated blocks.

Standardize UI with Polaris. Use AI to draft component usage, but keep a canonical design token map so your admin/checkout/customer experiences match.

Pilot storefront agents. Start with low-risk tasks (guided navigation, FAQ, PDP compare) and monitor guardrails and logging closely as you explore the MCP storefront path.

Gotchas & best practices

  • Source of truth: Always prefer MCP-fed answers over generic model memory; they reflect current docs and schemas.
  • Accessibility first: AI can draft markup, but you own semantics and focus management—treat Sidekick output as a starting point only.
  • Performance budgets: Avoid giant, nested blocks with inlined CSS/JS. Split concerns and leverage theme assets properly.
  • Privacy & keys: Never paste tokens into prompts. Keep secrets in env files and use proxy functions where needed (the AI can still scaffold them).

The bottom line

Shopify has moved from “AI helpers” to AI-integrated development. The Dev MCP server gives your assistant authoritative context (docs, schemas, validation) inside your IDE, while Sidekick + Shopify Magic bring generative power into the theme editor—complete with a standards-aware wrapper model for blocks. Build faster, with fewer unknowns, and ship code that aligns with the platform’s latest capabilities.

References & further reading

  • Shopify Dev MCP server docs & setup (tools, flags, examples). Shopify
  • Shopify Dev MCP server repository (commands, validation tools). GitHub
  • AI-generated theme blocks (developer architecture notes). Shopify
  • Generate blocks in the theme editor with Shopify Magic (how-to steps, considerations). Shopify Help Center
  • Shopify Editions Summer ’25 (Polaris unified UI, AI-first Hydrogen cookbook). Shopify

This article is an original synthesis based on publicly available Shopify documentation and announcements. All guidance above has been rewritten in my own words and tailored for developers.