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Adobe Summit L320 — Modern Commerce Without Risk: Hands-On with Adobe Commerce Cloud Service

This lab walks you through building Adobe Commerce as a Cloud Service extensions using AI-assisted development tools. The use case covers an App Builder extension (backend) and a storefront integration (frontend) using Cursor as the AI-assisted development tool.

Prerequisites

All lab machines are pre-configured with the required tools and dependencies. The following are pre-installed:

  • Node.js 22, npm 9+, and Git
  • Adobe I/O CLI with Commerce, Runtime, and App Builder plugins
  • Cursor — Pre-configured with credentials and MCP tools for AI-assisted development.

Provided resources

Each participant is assigned a seat number (01–99). Use it to identify your resources:

Resource Naming convention Example (seat 07)
Dev Console project L320 XX L320 07
ACCS instance L320 XX L320 07
Adobe I/O email L320-XX@adobeeventlab.com L320-07@adobeeventlab.com

The password will be provided during the lab.

Getting started

1. Clone the lab repository

git clone https://github.com/adobe-commerce/commerce-summit-L320.git
cd commerce-summit-L320

2. Log in to Adobe I/O

aio auth login --force

Follow the browser prompts: enter your assigned email and lab password, skip optional mobile/email recovery prompts, and select the Adobe Commerce Labs profile. Then open the Adobe Developer Console to verify login and accept terms and conditions if prompted.

3. Follow the workbook

Open the workbook and follow the steps from Step 3 onward (the clone and login steps above cover Steps 1–2).

Use case Workbook
Product Reviews & Q&A Product Reviews

Troubleshooting

Issue Resolution
aio auth login does not open a browser Ensure you have a default browser configured. Copy the URL from the terminal output and open it manually.
Developer Console shows no projects Verify you selected the Adobe Commerce Labs profile during login. Run aio auth login --force to re-authenticate.
app-setup fails with authentication errors Run aio auth login --force before retrying.

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