the-chance-buenos-aires-squad/buenos-appetitos
Apr 2025 – Apr 2025
1 Month active
Languages Used
Kotlin
Technical Skills
Backend DevelopmentCLI DevelopmentKotlinRefactoring
Sara Desouki
PROFILE
Sara Desouki
Sara Desouki contributed backend and CLI development to the buenos-appetitos repository, focusing on feature delivery and maintainability. She implemented a meal suggestions flow that filters recipes by preparation time, ingredient count, and steps, returning up to ten relevant meal names or a clear message when no matches exist. Additionally, she developed a dedicated Keto Diet Recipe CLI, integrating nutrition-based filtering and refactoring the codebase for modularity and future extensibility. Working exclusively in Kotlin, Sara emphasized clear commit practices and cohesive feature boundaries, laying a solid foundation for rapid iteration on dietary features without introducing new bugs during this period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
2
Lines of code
217
Activity Months1
Work History
April 2025
4 Commits • 2 Features
Apr 1, 2025April 2025 performance summary for the Buenos Appetitos project (the-chance-buenos-aires-squad/buenos-appetitos). Delivered two major features that enhance meal discovery and dietary support, with a focus on usability, modularity, and maintainability. Key outcomes include a new meal suggestions flow with robust filtering and a Keto Diet Recipe CLI/use case, supported by targeted refactoring to improve integration and future extensibility. No major bugs reported; this period prioritized feature delivery, code quality, and traceability to enable faster iteration on dietary preferences.
4 Commits • 2 Features
Apr 1, 2025April 2025 performance summary for the Buenos Appetitos project (the-chance-buenos-aires-squad/buenos-appetitos). Delivered two major features that enhance meal discovery and dietary support, with a focus on usability, modularity, and maintainability. Key outcomes include a new meal suggestions flow with robust filtering and a Keto Diet Recipe CLI/use case, supported by targeted refactoring to improve integration and future extensibility. No major bugs reported; this period prioritized feature delivery, code quality, and traceability to enable faster iteration on dietary preferences.
April 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance65.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Kotlin
Technical Skills
Backend DevelopmentCLI DevelopmentKotlinRefactoring
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