petr-kus/2024_autumn_saucedemo_tstcourse
Nov 2024 – Jan 2025
3 Months active
Languages Used
JavaScriptMarkdownPowerShellPythonShellGitHTMLRobot Framework
Technical Skills
Automated TestingDependency ManagementDevOpsDocumentationEnvironment SetupGit
Petr Kus
PROFILE
Petr Kus
Developed and maintained a robust test automation framework in the petr-kus/2024_autumn_saucedemo_tstcourse repository, focusing on scalable quality assurance and streamlined onboarding. Leveraging Python, Selenium, and PyTest, the work included building a modular Page Object Model, automating environment setup, and managing dependencies for reproducible test runs. The developer enhanced repository hygiene through improved documentation, .gitignore updates, and merge conflict resolution, while also refactoring navigation components and test infrastructure for maintainability. Additional contributions involved updating course materials, fixing critical tooling bugs, and implementing logging improvements, resulting in a stable, maintainable codebase that accelerated QA cycles and improved collaboration across contributors.
Overall Statistics
Feature vs Bugs
63%Features
Repository Contributions
53Total
Bugs
6
Commits
53
Features
10
Lines of code
559,288
Activity Months3
Your Network
10 peopleSame Organization
@thermofisher.com1
Work History
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 (Month: 2025-01) – Petr's work in petr-kus/2024_autumn_saucedemo_tstcourse focused on delivering maintainable navigation and more robust test infrastructure. Key changes include a Navigation Page Refactor, conftest.py improvements for test reliability and speed, and logging enhancements for better observability. This was accompanied by groundwork for future performance optimizations (singleton pattern and fixture scope). The work is captured in commit e78ff7c50e0ee4fa83ed10bb69a41f4d62368f22 (DU 9 - oprava - Tomas).
1 Commits • 1 Features
Jan 1, 2025January 2025 (Month: 2025-01) – Petr's work in petr-kus/2024_autumn_saucedemo_tstcourse focused on delivering maintainable navigation and more robust test infrastructure. Key changes include a Navigation Page Refactor, conftest.py improvements for test reliability and speed, and logging enhancements for better observability. This was accompanied by groundwork for future performance optimizations (singleton pattern and fixture scope). The work is captured in commit e78ff7c50e0ee4fa83ed10bb69a41f4d62368f22 (DU 9 - oprava - Tomas).
January 2025
December 2024
38 Commits • 6 Features
Dec 1, 2024December 2024 performance summary for petr-kus/2024_autumn_saucedemo_tstcourse focused on delivering course material improvements, stabilizing the assessment workflow, and improving repository hygiene. Key features delivered include Lektor content updates for Lesson 7, comprehensive Lektor DU: Comments and Assessments (with evaluation results), and ongoing DU5/DU6 course content and assignments updates. Major bug fixes addressed critical tooling and workflow reliability, including prerequisites PS1 script for Krystina_H, and multiple DU6/DU7/DU9 oprava fixes across the stack. Minor notes added and .gitignore enhancements completed to reduce noise and improve CI reliability. Overall, these efforts increased learning material quality, streamlined instructor feedback loops, and reduced friction for maintenance and deployment.
December 2024
38 Commits • 6 Features
Dec 1, 2024December 2024 performance summary for petr-kus/2024_autumn_saucedemo_tstcourse focused on delivering course material improvements, stabilizing the assessment workflow, and improving repository hygiene. Key features delivered include Lektor content updates for Lesson 7, comprehensive Lektor DU: Comments and Assessments (with evaluation results), and ongoing DU5/DU6 course content and assignments updates. Major bug fixes addressed critical tooling and workflow reliability, including prerequisites PS1 script for Krystina_H, and multiple DU6/DU7/DU9 oprava fixes across the stack. Minor notes added and .gitignore enhancements completed to reduce noise and improve CI reliability. Overall, these efforts increased learning material quality, streamlined instructor feedback loops, and reduced friction for maintenance and deployment.
November 2024
14 Commits • 3 Features
Nov 1, 2024November 2024 monthly summary for petr-kus/2024_autumn_saucedemo_tstcourse. Focused on delivering a solid automation foundation, reproducible test environments, and codebase stability to accelerate QA cycles and onboarding.
14 Commits • 3 Features
Nov 1, 2024November 2024 monthly summary for petr-kus/2024_autumn_saucedemo_tstcourse. Focused on delivering a solid automation foundation, reproducible test environments, and codebase stability to accelerate QA cycles and onboarding.
November 2024
Activity
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Quality Metrics
Correctness75.8%
Maintainability76.2%
Architecture68.2%
Performance63.8%
AI Usage30.0%
Skills & Technologies
Programming Languages
GitHTMLJavaScriptMarkdownPowerShellPythonRobot FrameworkShell
Technical Skills
AllureAllure ReportingAutomated TestingAutomation TestingBDDData SeparationDependency ManagementDevOpsDocumentationEnvironment SetupFixturesGitHTML ReportingLoggingMerge Conflict Resolution
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline