Magento Codespaces turns your existing Magento or Adobe Commerce GitHub repository into a complete, working development environment that runs in the cloud.
We add all of the correct configuration to your repo, set up automated database and media fetching, and configure instance start so the store boots and is browsable within minutes. No local setup, no "works on my machine" problems.
The environment is AI agent compatible, so you and your team can develop Magento features with AI directly inside Codespaces, against a real, running store.
Magento Codespaces
Turn your Magento GitHub repo into a working, AI-ready cloud environment.
Magento Codespaces turns your existing GitHub repository into a complete, working development environment in the cloud. We add the correct configuration, set up automated database and media fetching, and configure instance start so the store boots in minutes. It's AI agent compatible, so you can develop with AI directly in Codespaces.
Highlights
- Works from your GitHub repo
- Automated database & media fetching
- One-click instance start
- AI agent compatible
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A complete Magento environment, straight from your repo
Onboard Developers in Minutes
New developers spin up a complete, working Magento environment from your GitHub repo in minutes, with no local setup or "works on my machine" headaches.
Automatic Database Fetching
Production or staging databases are pulled in and configured automatically, so every Codespace starts with realistic, ready-to-use data.
Media & Asset Syncing
Product images, media, and static assets are fetched on start, giving you a true-to-live storefront without manually copying files.
One-Click Instance Start
PHP, MySQL, Elasticsearch/OpenSearch, Redis, and the Magento app boot together so the store is browsable as soon as the Codespace is ready.
AI Agent Compatible
Develop with AI directly in Codespaces. The environment is pre-configured for AI coding agents to read, run, and modify your Magento codebase safely.
Disposable & Consistent
Every environment is identical and reproducible. Throw one away and rebuild it from your repo whenever you need a clean slate.
Built for fast, consistent, AI-assisted development
Zero local setup
No more days lost configuring PHP, MySQL, or search engines on each machine.
Faster onboarding
New team members are productive on day one with a working store in the browser.
Consistent environments
Everyone develops against the same versions, data, and configuration.
Develop with AI
AI agents can run, test, and modify your Magento code inside the Codespace.
Lower hardware demands
Heavy Magento builds run in the cloud, freeing up local machines.
From GitHub repo to running store in minutes
We add a pre-configured development container and supporting scripts to your Magento GitHub repository. When a Codespace starts, it provisions the full service stack, fetches a sanitised database and your media, then boots the Magento application so the store is immediately browsable. The same configuration makes the environment ready for AI coding agents, so your team can build and test Magento features with AI directly in the cloud.
Planning a new Magento build instead?
If you're starting a brand new Magento or Adobe Commerce store rather than setting up a development environment, explore our Launch a New Store service.
FAQ
For Magento, this means PHP, MySQL, search, caching, and the Magento application are all provisioned automatically the moment you open the Codespace.
.devcontainer setup and supporting scripts) to your existing GitHub repository. Your Magento or Adobe Commerce code stays exactly as it is.The configuration sits alongside your code and is only used to build the development environment.
This runs as part of the instance start process, so each environment comes up with realistic catalogue data and a true-to-live storefront, without anyone copying files by hand.
This lets you develop Magento features with AI directly in Codespaces, rather than against a partial or broken local setup.
The setup follows least-privilege access so the development environment only has what it needs.
More complex stacks with additional services or integrations may need extra scoping, which we assess upfront.