unb-mds/2025-1-NoFluxoUNB
Jun 2026 – Jun 2026
1 Month active
Languages Used
No languages
Technical Skills
Frontend DevelopmentFrontend TestingInput ValidationTypeScriptUnit TestingVitest
andrehsb
PROFILE
Andrehsb
Worked on the unb-mds/2025-1-NoFluxoUNB repository to enhance frontend reliability by delivering quality assurance and robustness improvements for curriculum logic and expression evaluation. Developed comprehensive test suites using TypeScript and Vitest to validate logical expression utilities and extended unit tests for curriculum search, filtering, and graph analysis. Introduced input validation in the parser to prevent processing empty or excessively long strings, addressing potential reliability issues. Focused on strengthening frontend utilities through targeted unit testing and input safeguards, which reduced the risk of regression and improved developer confidence in the codebase. Emphasized frontend development and frontend testing best practices throughout.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
357
Activity Months1
Your Network
16 peopleShared Repositories
16
Work History
June 2026
3 Commits • 1 Features
Jun 1, 2026June 2026 — Repository: unb-mds/2025-1-NoFluxoUNB. Delivered Quality Assurance and Robustness Improvements for Curriculum Logic and Expression Evaluation. Implemented comprehensive test suites for logical expression evaluation utilities, added input validation to prevent processing empty or excessively long strings in the parser, and extended unit tests for curriculum search, filtering, and graph analysis to strengthen frontend utilities. Applied string-length safeguards as a bug fix to prevent parser issues and improve reliability. Result: higher frontend reliability, reduced risk of regression, and better developer confidence.
3 Commits • 1 Features
Jun 1, 2026June 2026 — Repository: unb-mds/2025-1-NoFluxoUNB. Delivered Quality Assurance and Robustness Improvements for Curriculum Logic and Expression Evaluation. Implemented comprehensive test suites for logical expression evaluation utilities, added input validation to prevent processing empty or excessively long strings in the parser, and extended unit tests for curriculum search, filtering, and graph analysis to strengthen frontend utilities. Applied string-length safeguards as a bug fix to prevent parser issues and improve reliability. Result: higher frontend reliability, reduced risk of regression, and better developer confidence.
June 2026
Activity
Loading activity data...
Quality Metrics
Correctness100.0%
Maintainability93.4%
Architecture93.4%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
No languages yet
Technical Skills
Frontend DevelopmentFrontend TestingInput ValidationTypeScriptUnit TestingVitest
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline