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Shopify AI Toolkit
✓ verifiedFree
Free official toolkit that wires Claude Code, Cursor and similar AI coding tools into Shopify's docs, schemas and CLI for app building.
✕
Aide Dev
✓ verifiedPaid
Aide helps developers code faster with parallel agents and automated workflows.
7.6K visits/mo
✕
Jules by Google
✓ verifiedFreemium
Google's asynchronous AI coding agent that autonomously fixes bugs and builds features in GitHub repos, powered by Gemini.
Pricing
No public pricing
Standard: $49 per month
No public pricing
Historical Data Pack: $49.9
Base Plan: $14.9/month
Advanced Plan: $24.9/month
Enterprise Plan: $34.9/month
No public pricing
Core features
- ✦One-command plugin install for Claude Code, Codex, Cursor, VS Code and more
- ✦Bundled Shopify documentation and GraphQL API schemas for agents
- ✦Built-in code validation against Shopify's implementation rules
- ✦Store execute capability so an agent can act on a real Shopify store via CLI
- ✦Optional granular install of individual agent skills
- ✦Local Dev MCP server option requiring no authentication
- ✦Parallel Agents for faster coding
- ✦GitHub native integration
- ✦Automated PR workflow
- ✦Smart PR suggestions
- ✦Automatic code reviews
- ✦Real-time progress tracking
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- ✦Commits and Pull Requests Dashboard
- ✦Advanced Developer Skills Analysis
- ✦Strategic Investment Balance Monitoring
- ✦Collaborative Developers Map
- ✦Benchmarking Comparison with Other Teams
- ✦Smart Notifications
- ✦Autonomous coding agent
- ✦GitHub repository integration
- ✦Runs in a cloud VM
- ✦Multi-step task planning
- ✦Opens pull requests with changes
- ✦Powered by Gemini
Use cases
- →Scaffolding and building Shopify apps with an AI coding assistant
- →Validating app code against Shopify's platform rules before shipping
- →Letting an agent manage a Shopify store through natural-language CLI commands
- →Connecting Shopify's developer docs directly into an editor's AI chat
- →Automating code reviews
- →Generating PRs automatically
- →Improving code quality through continuous improvements
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- →Visualize historical graphs of code evolution
- →Assess development team performance using RSI and EMA
- →Understand developer skills and identify areas for improvement
- →Categorize commits by type (fixes, refactoring, etc.) to analyze investment balance
- →Identify individual and collective contributors within the team
- →Compare team performance with industry benchmarks
- →Receive weekly and monthly reports with AI-extracted insights
- →Fixing bugs asynchronously
- →Adding features to a codebase
- →Writing and updating tests
- →Automating routine development tasks
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