GetCodifyAI/cut-dry-automation-framework
Apr 2025 – Apr 2025
1 Month active
Languages Used
GitJavaPythonXMLYAML
Technical Skills
AutomationAutomation TestingCI/CDConfigurationConfiguration ManagementDevOps
dileesha
PROFILE
Dileesha
Dileesha contributed to the GetCodifyAI/cut-dry-automation-framework by delivering targeted automation reliability improvements and feature enhancements focused on regression resilience and CI/CD stability. She implemented auto-selection logic for customer order guides and enhanced failure analysis for regression testing, improving diagnostics and reporting. Her work included stabilizing UI automation for the Customer page by refining waits and visibility checks, as well as optimizing CI/CD scheduling through cron adjustments and branch filter updates. Using Java, Selenium, and Git, Dileesha addressed four bugs and delivered two features, demonstrating depth in test automation, configuration management, and continuous integration for more reliable, maintainable releases.
Overall Statistics
Feature vs Bugs
33%Features
Repository Contributions
18Total
Bugs
4
Commits
18
Features
2
Lines of code
123
Activity Months1
Your Network
19 people
Work History
April 2025
18 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for GetCodifyAI/cut-dry-automation-framework: Delivered core automation reliability improvements and selective feature enhancements focused on regression resilience and CI/CD stability. Key features delivered include: Customer Order Guide Selection Enhancement (auto-selects an order guide when the previous draft order number is not displayed); Failure Analysis Enhancements for Regression Testing (improved failure reporting for regression test #9); UI Test Reliability Improvements for Customer Page (ensured waits for multi-unit dropdowns, visibility checks, and improved search handling). CI/CD Scheduling and Configuration Optimizations updated nightly builds and test coverage via cron adjustments, new jobs, and branch filter refinements. Maintenance tasks included gitignore updates and temporary disabling of reg 6 XML configs for debugging. Overall, these changes increased automation reliability, reduced flaky tests, and accelerated feedback loops, enabling faster, more reliable releases with improved diagnostics. Technologies demonstrated: UI test automation, regression analysis tooling, CI/CD orchestration, and Git configuration management.
18 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for GetCodifyAI/cut-dry-automation-framework: Delivered core automation reliability improvements and selective feature enhancements focused on regression resilience and CI/CD stability. Key features delivered include: Customer Order Guide Selection Enhancement (auto-selects an order guide when the previous draft order number is not displayed); Failure Analysis Enhancements for Regression Testing (improved failure reporting for regression test #9); UI Test Reliability Improvements for Customer Page (ensured waits for multi-unit dropdowns, visibility checks, and improved search handling). CI/CD Scheduling and Configuration Optimizations updated nightly builds and test coverage via cron adjustments, new jobs, and branch filter refinements. Maintenance tasks included gitignore updates and temporary disabling of reg 6 XML configs for debugging. Overall, these changes increased automation reliability, reduced flaky tests, and accelerated feedback loops, enabling faster, more reliable releases with improved diagnostics. Technologies demonstrated: UI test automation, regression analysis tooling, CI/CD orchestration, and Git configuration management.
April 2025
Activity
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Quality Metrics
Correctness76.8%
Maintainability81.2%
Architecture69.0%
Performance67.8%
AI Usage22.2%
Skills & Technologies
Programming Languages
GitJavaPythonXMLYAML
Technical Skills
AutomationAutomation TestingCI/CDConfigurationConfiguration ManagementDevOpsFailure AnalysisGitJavaJava DevelopmentRegression TestingSeleniumTest AutomationUI Automation
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline