modern-agile-team/9term-assignment
Dec 2024 – Jan 2025
2 Months active
Languages Used
JavaScript
Technical Skills
AlgorithmAlgorithm ImplementationArray ManipulationArray MethodsBasic JavaScriptBitwise Operations
KBH
PROFILE
Kbh
During a two-month period, Byunghyun Kim developed and refined a series of daily algorithmic assignments for the modern-agile-team/9term-assignment repository, focusing on JavaScript and core problem-solving skills. He delivered twelve feature-complete modules, iteratively improving them through structured feedback and disciplined version control. His work included debugging complex logic, such as correcting the K번째 수 algorithm, and optimizing performance in analytics tasks like stage failure rate calculations. Byunghyun also implemented interactive features, including a keypad input sequence simulator, emphasizing maintainable, testable code. His approach demonstrated depth in algorithm implementation, array manipulation, and regular expressions, resulting in reliable, review-ready solutions.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
34Total
Bugs
3
Commits
34
Features
12
Lines of code
829
Activity Months2
Your Network
1009 people
Work History
January 2025
2 Commits • 2 Features
Jan 1, 2025January 2025 contributions for modern-agile-team/9term-assignment focused on performance optimization and feature completeness. Key features delivered include: Stage Failure Rate Calculation Optimization and Keypad Input Sequence Simulation. No major bugs fixed this month. Overall impact: improved analytics throughput, cleaner outputs, and deterministic input handling that enhances user-facing reliability and future maintainability. Technologies/skills demonstrated include algorithmic optimization, refactoring for clarity, and writing testable, maintainable code.
2 Commits • 2 Features
Jan 1, 2025January 2025 contributions for modern-agile-team/9term-assignment focused on performance optimization and feature completeness. Key features delivered include: Stage Failure Rate Calculation Optimization and Keypad Input Sequence Simulation. No major bugs fixed this month. Overall impact: improved analytics throughput, cleaner outputs, and deterministic input handling that enhances user-facing reliability and future maintainability. Technologies/skills demonstrated include algorithmic optimization, refactoring for clarity, and writing testable, maintainable code.
January 2025
December 2024
32 Commits • 10 Features
Dec 1, 2024Month: 2024-12 | Repository: modern-agile-team/9term-assignment Overview: Delivered a continuous sequence of daily assignments with feedback-driven refinements, culminating in Day 12 materials. Work was organized into cohesive feature bundles per day with clear traceability, aligning with ongoing learning goals and readiness for code review. Key features delivered: - End-to-end daily assignment delivery from Day 1 through Day 12 (including Day 12 materials), with multiple commits per day reflecting completion and feedback iterations. - Day 5–7 expansions and refinements, incorporating feedback and prior-day corrections to improve overall solution quality. - Ongoing feature work consolidated into maintainable bundles, facilitating review and knowledge transfer. Major bugs fixed: - K번째 수 알고리즘 수정, correcting core logic and improving result accuracy. - Corrections to Day 10 and Day 11 assignments to address edge cases and ensure stability. - Additional stabilization work on Day 6 assignments to improve consistency across related tasks. Overall impact and accomplishments: - Accelerated learner progression through structured daily challenges with rapid feedback incorporation. - Improved code reliability and algorithm correctness, reducing risk in evaluation and future work. - Strong traceability and review readiness due to disciplined, per-day commit organization including both features and bug fixes. Technologies/skills demonstrated: - Version control discipline: cohesive day-based commit bundles, clear messages, and reproducible history. - Algorithmic debugging: K번째 수 fix demonstrating analytical problem-solving. - Incremental delivery and integration of new material (Day 12) with feedback loops. - Debugging, refactoring, and iterative improvement across multiple days.
December 2024
32 Commits • 10 Features
Dec 1, 2024Month: 2024-12 | Repository: modern-agile-team/9term-assignment Overview: Delivered a continuous sequence of daily assignments with feedback-driven refinements, culminating in Day 12 materials. Work was organized into cohesive feature bundles per day with clear traceability, aligning with ongoing learning goals and readiness for code review. Key features delivered: - End-to-end daily assignment delivery from Day 1 through Day 12 (including Day 12 materials), with multiple commits per day reflecting completion and feedback iterations. - Day 5–7 expansions and refinements, incorporating feedback and prior-day corrections to improve overall solution quality. - Ongoing feature work consolidated into maintainable bundles, facilitating review and knowledge transfer. Major bugs fixed: - K번째 수 알고리즘 수정, correcting core logic and improving result accuracy. - Corrections to Day 10 and Day 11 assignments to address edge cases and ensure stability. - Additional stabilization work on Day 6 assignments to improve consistency across related tasks. Overall impact and accomplishments: - Accelerated learner progression through structured daily challenges with rapid feedback incorporation. - Improved code reliability and algorithm correctness, reducing risk in evaluation and future work. - Strong traceability and review readiness due to disciplined, per-day commit organization including both features and bug fixes. Technologies/skills demonstrated: - Version control discipline: cohesive day-based commit bundles, clear messages, and reproducible history. - Algorithmic debugging: K번째 수 fix demonstrating analytical problem-solving. - Incremental delivery and integration of new material (Day 12) with feedback loops. - Debugging, refactoring, and iterative improvement across multiple days.
Activity
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Quality Metrics
Correctness83.0%
Maintainability81.6%
Architecture68.4%
Performance74.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScript
Technical Skills
AlgorithmAlgorithm ImplementationArray ManipulationArray MethodsBasic JavaScriptBitwise OperationsFront-end DevelopmentGame DevelopmentJavaScriptProblem SolvingRegular ExpressionsString Manipulation
Repositories Contributed To
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