SwEng2-2025i/MV7h
May 2025 – Jun 2025
2 Months active
Languages Used
MarkdownPythonCSSHTMLJavaScriptSQLText
Technical Skills
API DesignAPI DevelopmentBackend DevelopmentChain of ResponsibilityChain of Responsibility PatternDesign Patterns
nicortesg
PROFILE
Nicortesg
Nicolás Cortés García developed the foundational architecture for the SwEng2-2025i/MV7h repository, focusing on scalable project scaffolding and modular microservices for user and task management. He applied Python and Flask to refactor the core codebase, improving reliability and maintainability through design patterns such as Singleton and Chain of Responsibility. By standardizing API documentation and reorganizing project structure, Nicolás enhanced onboarding and cross-team collaboration. His work included comprehensive documentation, robust dependency management, and the integration of SQLAlchemy for backend data handling. The resulting codebase established a stable baseline, enabling rapid feature development and reducing maintenance risk for future enhancements.
Overall Statistics
Feature vs Bugs
89%Features
Repository Contributions
27Total
Bugs
1
Commits
27
Features
8
Lines of code
1,857
Activity Months2
Your Network
99 people
Work History
June 2025
5 Commits • 3 Features
Jun 1, 2025In June 2025, delivered foundational setup and scalable architecture for SwEng2-2025i/MV7h with emphasis on project scaffolding, microservices, and developer-facing documentation. The work enables rapid onboarding, robust packaging, and a foundation for future features across user and task management domains.
5 Commits • 3 Features
Jun 1, 2025In June 2025, delivered foundational setup and scalable architecture for SwEng2-2025i/MV7h with emphasis on project scaffolding, microservices, and developer-facing documentation. The work enables rapid onboarding, robust packaging, and a foundation for future features across user and task management domains.
June 2025
May 2025
22 Commits • 5 Features
May 1, 2025May 2025 Monthly Summary for SwEng2-2025i/MV7h Key features delivered: - Initial Project Baseline: base skeleton and assets added (commits: 76fc177e0929adc9ffa7f27405ec474e90150a0a; 55e874abf3bf97928c39ced15a506715520b27e7; b58cb18a59e3499d0383262571d9d52745ba8223; e8db5975ff1594cd37de8c4aa57e651d805e49d7). - Core Codebase Improvements: refactored app.py, log_util.py, __init__.py, and base_handler.py to improve reliability and modularity. - Project structure reorganization and path fixes: aligned to versioned directories and corrected Swagger/README references (commits: 2563de6092d7dd9987469514ecfeea1b738b993b; 99f5cbe52500662843aeb48235a15a51990558c8; 899390925bfdb107fe1127714ad5218a1361bd49). - Documentation updates across repository: READMEs refreshed to reflect current structure and usage. - API Documentation Asset Renaming: standardized Swagger documentation assets (commits: a6dad8be1ce20185119dadec2d39ab17fd6ef367; c3d3c3d1d556dd2ba96355e675122af6af18427c). Major bugs fixed: - Corrected path references and naming inconsistencies in repository documentation to reflect versioned structure and ensure Swagger/README references load correctly across environments (path fixes in Laboratory1/1016106015 and related docs). Overall impact and accomplishments: - Established a stable, scalable baseline enabling faster feature work in May and beyond. - Improved onboarding and cross-team collaboration through clearer structure and up-to-date docs. - Reduced maintenance risk with standardized API doc naming and consistent paths. - Set the foundation for upcoming features with modular core codebase improvements and reliable initialization. Technologies/skills demonstrated: - Python-based refactoring and modularization (app.py, log_util.py, __init__.py, base_handler.py). - Documentation tooling and API docs management (Swagger.json/Swagger.pdf naming and path alignment). - Version control discipline with incremental commits and descriptive messages. - Handling of versioned project structures and path normalization for robust environments.
May 2025
22 Commits • 5 Features
May 1, 2025May 2025 Monthly Summary for SwEng2-2025i/MV7h Key features delivered: - Initial Project Baseline: base skeleton and assets added (commits: 76fc177e0929adc9ffa7f27405ec474e90150a0a; 55e874abf3bf97928c39ced15a506715520b27e7; b58cb18a59e3499d0383262571d9d52745ba8223; e8db5975ff1594cd37de8c4aa57e651d805e49d7). - Core Codebase Improvements: refactored app.py, log_util.py, __init__.py, and base_handler.py to improve reliability and modularity. - Project structure reorganization and path fixes: aligned to versioned directories and corrected Swagger/README references (commits: 2563de6092d7dd9987469514ecfeea1b738b993b; 99f5cbe52500662843aeb48235a15a51990558c8; 899390925bfdb107fe1127714ad5218a1361bd49). - Documentation updates across repository: READMEs refreshed to reflect current structure and usage. - API Documentation Asset Renaming: standardized Swagger documentation assets (commits: a6dad8be1ce20185119dadec2d39ab17fd6ef367; c3d3c3d1d556dd2ba96355e675122af6af18427c). Major bugs fixed: - Corrected path references and naming inconsistencies in repository documentation to reflect versioned structure and ensure Swagger/README references load correctly across environments (path fixes in Laboratory1/1016106015 and related docs). Overall impact and accomplishments: - Established a stable, scalable baseline enabling faster feature work in May and beyond. - Improved onboarding and cross-team collaboration through clearer structure and up-to-date docs. - Reduced maintenance risk with standardized API doc naming and consistent paths. - Set the foundation for upcoming features with modular core codebase improvements and reliable initialization. Technologies/skills demonstrated: - Python-based refactoring and modularization (app.py, log_util.py, __init__.py, base_handler.py). - Documentation tooling and API docs management (Swagger.json/Swagger.pdf naming and path alignment). - Version control discipline with incremental commits and descriptive messages. - Handling of versioned project structures and path normalization for robust environments.
Activity
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Quality Metrics
Correctness96.6%
Maintainability97.8%
Architecture98.2%
Performance94.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSHTMLJavaScriptMarkdownPythonSQLText
Technical Skills
API DesignAPI DevelopmentBackend DevelopmentCORSChain of ResponsibilityChain of Responsibility PatternDependency ManagementDesign PatternsDocker (implied)DocumentationEnd-to-End TestingFile ManagementFlaskFrontend DevelopmentLogging
Repositories Contributed To
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