New
Apr 18, 2025
The AI Commerce Cloud platform has implemented a new comprehensive automated testing pipeline aimed at ensuring the accuracy of the sales process and continuous availability even under high load. In each release or CI/CD cycle, Vitest-based unit and integration tests are run, covering frontend components, as well as ESLint checks to ensure code quality. This year, a Playwright-based end-to-end layer will also be added to ensure, for example, the functionality of the entire checkout process in the browser.
The tests target business-critical phases, such as:
Adding products to the shopping cart
Selecting payment methods and payment return URL
Customer login and account creation
Creating and processing orders
Checkout forms and address details
Rendering product pages and list views
Test failures immediately halt the release pipeline, and success is required at a 100% commit level for the checkout process. SLA monitoring reports production regressions and ensures that critical bugs are fixed within an hour response time. Telemetry and alerts to Slack enable real-time monitoring.
Manual smoke testing remains unchanged as the final confirmation step before production deployment. Partner developers can add their own tests to the partner-tests branch, for example from payment method modules, campaign logic, or customer profile extensions.
The implementation of the testing pipeline is part of the broader quality promise of AI Commerce Cloud:
The online store must operate without interruption
The sales path must function flawlessly
Developers and partners have visibility, responsibility, and tools to ensure code quality
This new automation improves reliability, shortens development cycles, and reduces errors encountered in production. At the same time, it provides both customers and development partners with an even higher confidence that AI Commerce Cloud will scale securely with increasing traffic.
