ROBOT FRAMEWORK
Why Robot?
I have been working with Robot Framework for 6 years, and it has been a key part of my automation journey. One of its biggest strengths is readability: the keyword-driven style makes test cases clear, maintainable, and easy for technical and non-technical teams to understand. I have solid hands-on experience with both SeleniumLibrary and Browser Library for web automation, and I also use Robot to validate REST and SOAP APIs as part of integration and end-to-end test strategies. Robot Framework gives me a reliable, scalable foundation for building structured test suites with strong reporting and smooth CI/CD integration.
Robot Automation Project
This repository showcases a professional automation framework built with Robot Framework and the Browser (Playwright-based) library, following the Page Object Model (POM) design pattern for maximum maintainability. The suite covers both UI and REST API testing, ensuring full-stack validation of the application. I implemented Poetry for robust dependency management and environment isolation, ensuring consistent builds. The entire project is containerized with Docker and integrated into a GitHub Actions CI/CD pipeline, providing a scalable and production-ready testing solution.
Did you know?
Robot Framework is agnostic by design. While it’s famous for web testing, it’s not tied to any specific language or technology. From APIs and Databases to SSH and Mainframes, it uses the same 'keyword' logic to automate almost anything in the digital world..
CI/CD Integration
The project is fully integrated with GitHub Actions, serving as a quality gate that triggers a full regression on every push to master. I also configured manual triggers via tags, allowing for on-demand execution of @smoke or @regression suites directly from the repository, with automated HTML reports and traces for instant debugging.