New automated testing pipeline ensures continuous reliability of AI Commerce Cloud

During every release (CI/CD cycle), Vitest-based unit and integration tests are run, covering frontend components, along with ESLint checks to maintain code quality. Later this year, an additional Playwright-based end-to-end testing layer will be introduced to validate critical flows, such as the complete checkout process in the browser.

The tests focus on business-critical stages, including:

• Adding products to the cart

• Selecting payment methods and verifying return URLs

• Customer login and account creation

• Order creation and processing

• Checkout forms and address validation

• Rendering of product detail and listing pages

If any test fails, the deployment pipeline is immediately halted. For checkout-related commits, 100% test success is required. SLA monitoring reports production regressions and guarantees that critical bugs are addressed within a one-hour response window. Telemetry and Slack alerts enable real-time monitoring.

Manual smoke testing remains in place as the final verification step before production deployment. Partner developers can contribute their own tests in a dedicated partner-tests branch, for example to validate payment modules, campaign logic, or customer profile extensions.

This testing pipeline is part of AI Commerce Cloud’s broader quality promise:

• The storefront must operate without interruption

• The sales funnel must work flawlessly

• Developers and partners have the visibility, accountability, and tools to maintain high code quality

This new automation improves reliability, shortens development cycles, and reduces production-level bugs. At the same time, it provides both customers and development partners with even greater confidence that AI Commerce Cloud can scale safely alongside growing traffic.