codingTestStd/CoteAndAlgorithm
Jan 2025 – Jan 2025
1 Month active
Languages Used
JavaScriptMarkdown
Technical Skills
AlgorithmAlgorithm ImplementationArray ManipulationBasic JavaScriptData StructuresMatrix Operations
Jiye Lee
PROFILE
Jiye Lee
During January 2025, Sije3757 developed a JavaScript Algorithm Utilities Library within the codingTestStd/CoteAndAlgorithm repository, focusing on consolidating reusable solutions for array manipulation, matrix operations, and stack-based workflows. The library standardized implementations for tasks such as matrix addition, multiplication, divisor-based filtering, and stack-driven string parsing, enabling faster prototyping and consistent code quality. Sije3757 applied core skills in JavaScript and data structures to create a centralized resource that accelerates problem-solving and supports maintainability across projects. The work laid a foundation for performance-oriented algorithm development, though the scope was limited to one feature and did not include bug fixes during this period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
348
Activity Months1
Your Network
33 people
Work History
January 2025
2 Commits • 1 Features
Jan 1, 2025Concise monthly summary for 2025-01 focused on the codingTestStd/CoteAndAlgorithm repository. Key feature delivered this month is a JavaScript Algorithm Utilities Library consolidating Array, Matrix, and Stack solutions, designed to accelerate problem-solving tasks, standardize implementations, and enable reuse across projects. No major bugs reported or documented fixes for this period. Overall, the work enhances developer productivity and code quality by providing a centralized, reusable set of algorithm utilities.
2 Commits • 1 Features
Jan 1, 2025Concise monthly summary for 2025-01 focused on the codingTestStd/CoteAndAlgorithm repository. Key feature delivered this month is a JavaScript Algorithm Utilities Library consolidating Array, Matrix, and Stack solutions, designed to accelerate problem-solving tasks, standardize implementations, and enable reuse across projects. No major bugs reported or documented fixes for this period. Overall, the work enhances developer productivity and code quality by providing a centralized, reusable set of algorithm utilities.
January 2025
Activity
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Quality Metrics
Correctness85.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptMarkdown
Technical Skills
AlgorithmAlgorithm ImplementationArray ManipulationBasic JavaScriptData StructuresMatrix OperationsStack
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