
Wishmini developed and expanded automated test coverage for core commerce workflows in the GetCodifyAI/cut-dry-automation-framework and cut-dry-ui-automation-restaurant repositories. Over three months, Wishmini delivered features such as editing order reminder settings, implementing a Cancel Order button, and automating payments, invoice, and multi-unit item workflows. The work involved designing and maintaining UI automation using Java, JavaScript, Selenium, and TestNG, with a focus on configuration management and environment targeting. Through code refactoring and robust test case automation, Wishmini improved regression safety, reduced manual QA effort, and ensured end-to-end reliability for critical business flows without introducing new bugs.

April 2025 monthly summary focused on expanding automated QA coverage and stabilizing core commerce flows across two repositories. Key features delivered include automated QA coverage for Scan-to-Order Custom Order display in the automation framework, automated testing for payments and invoice workflows in the UI automation project, and automated UI testing for item editing and multi-UOM workflows. These efforts included test setup enhancements, wrapper methods, and multiple automated test cases with refactors to support robust automation. No separate major bug fixes were recorded; improvements were achieved through automation coverage and refactors to reduce flaky tests and increase regression safety. Technologies and skills demonstrated include test automation design and maintenance, cross-repo automation coverage, mapping tests to DOT-TC requirements, code cleanup/refactors to enable robust automation, and end-to-end regression readiness for critical business flows.
April 2025 monthly summary focused on expanding automated QA coverage and stabilizing core commerce flows across two repositories. Key features delivered include automated QA coverage for Scan-to-Order Custom Order display in the automation framework, automated testing for payments and invoice workflows in the UI automation project, and automated UI testing for item editing and multi-UOM workflows. These efforts included test setup enhancements, wrapper methods, and multiple automated test cases with refactors to support robust automation. No separate major bug fixes were recorded; improvements were achieved through automation coverage and refactors to reduce flaky tests and increase regression safety. Technologies and skills demonstrated include test automation design and maintenance, cross-repo automation coverage, mapping tests to DOT-TC requirements, code cleanup/refactors to enable robust automation, and end-to-end regression readiness for critical business flows.
March 2025 monthly summary for GetCodifyAI development. Focused on delivering user-facing features in the Scan to Order workflow and strengthening automated QA coverage across both framework and UI automation repositories. Achievements include a new Cancel Order button in the Scan to Order flow, expanded test automation for reliability, environment targeting refinements for staging, and UI behavior enforcement during checkout, complemented by automated tests for the Custom Order Guide.
March 2025 monthly summary for GetCodifyAI development. Focused on delivering user-facing features in the Scan to Order workflow and strengthening automated QA coverage across both framework and UI automation repositories. Achievements include a new Cancel Order button in the Scan to Order flow, expanded test automation for reliability, environment targeting refinements for staging, and UI behavior enforcement during checkout, complemented by automated tests for the Custom Order Guide.
February 2025 focused on feature delivery and test coverage for the cut-dry-automation-framework. Key achievement: implemented UI interactions and saving for editing order reminder settings in the Customer Order Guide (covering cutoff times, alert times, and alert days) with new classes/methods and verification tests. Added automated tests VerifyEditOrderTest and OrderReminderEdit, increasing regression coverage. This work enhances configurability and reliability of order communications, delivering business value through streamlined workflows and reduced manual steps.
February 2025 focused on feature delivery and test coverage for the cut-dry-automation-framework. Key achievement: implemented UI interactions and saving for editing order reminder settings in the Customer Order Guide (covering cutoff times, alert times, and alert days) with new classes/methods and verification tests. Added automated tests VerifyEditOrderTest and OrderReminderEdit, increasing regression coverage. This work enhances configurability and reliability of order communications, delivering business value through streamlined workflows and reduced manual steps.
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