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
Contributed to the Buenos Appetitos repository by delivering two core features focused on meal discovery and dietary support. Developed 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. Introduced a dedicated Keto Diet Recipe command-line interface, enabling nutrition-based filtering and seamless integration into both helper modules and the main application. Emphasized backend and CLI development using Kotlin, with targeted refactoring to improve modularity, maintainability, and future extensibility. Prioritized code quality and traceability, laying groundwork for accelerated feature delivery.
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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