DaleStudy/leetcode-study
Dec 2024 – Jan 2025
2 Months active
Languages Used
Java
Technical Skills
AlgorithmAlgorithm DesignBit ManipulationData StructuresDynamic ProgrammingHash Table
GangBean
PROFILE
Gangbean
Over two months, Dale contributed to the DaleStudy/leetcode-study repository by developing a comprehensive library of 23 algorithmic solutions in Java, focusing on dynamic programming, array manipulation, and data structures. He implemented reusable templates for common problems such as linked lists, trees, and grid traversal, emphasizing maintainability and onboarding efficiency. Dale refactored code to eliminate duplication and improve readability, notably in solutions for Word Search and Coin Change. His work included foundational data structures like Trie Prefix Tree and design-oriented solutions for scalable practice. The resulting codebase offers a robust, interview-ready reference that accelerates problem solving and supports future development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
34Total
Bugs
0
Commits
34
Features
23
Lines of code
1,238
Activity Months2
Your Network
251 people
Work History
January 2025
23 Commits • 20 Features
Jan 1, 2025January 2025 highlights substantial algorithmic delivery and code quality improvements in DaleStudy/leetcode-study. Delivered 20 new features spanning common LeetCode topics (linked lists, arrays, strings, DP, and graphs), with a strong emphasis on correctness, maintainability, and reusable problem-solving templates. Refactors and design work improved robustness and onboarding, including code dedup elimination in Word Search and a refactor in Coin Change to remove unnecessary sorting. Added foundational data structures (Trie Prefix Tree) and a design-oriented solution (Design Add and Search Words Data Structure) to support scalable practice problems. While no major bugs were reported this month, changes reduce risk and future maintenance effort by standardizing patterns and improving readability. Business value: faster onboarding for new contributors, consistent coding standards, reusable solution templates, and a broader, maintainable reference base for client-ready algorithm implementations.
23 Commits • 20 Features
Jan 1, 2025January 2025 highlights substantial algorithmic delivery and code quality improvements in DaleStudy/leetcode-study. Delivered 20 new features spanning common LeetCode topics (linked lists, arrays, strings, DP, and graphs), with a strong emphasis on correctness, maintainability, and reusable problem-solving templates. Refactors and design work improved robustness and onboarding, including code dedup elimination in Word Search and a refactor in Coin Change to remove unnecessary sorting. Added foundational data structures (Trie Prefix Tree) and a design-oriented solution (Design Add and Search Words Data Structure) to support scalable practice problems. While no major bugs were reported this month, changes reduce risk and future maintenance effort by standardizing patterns and improving readability. Business value: faster onboarding for new contributors, consistent coding standards, reusable solution templates, and a broader, maintainable reference base for client-ready algorithm implementations.
January 2025
December 2024
11 Commits • 3 Features
Dec 1, 2024December 2024 Performance Summary — DaleStudy/leetcode-study Delivered a focused, interview-ready algorithm library spanning dynamic programming, array optimizations, string processing, and bit-level utilities. The month’s work stabilizes and expands the repository, enabling faster problem solving, onboarding, and code reuse for future interview prep.
December 2024
11 Commits • 3 Features
Dec 1, 2024December 2024 Performance Summary — DaleStudy/leetcode-study Delivered a focused, interview-ready algorithm library spanning dynamic programming, array optimizations, string processing, and bit-level utilities. The month’s work stabilizes and expands the repository, enabling faster problem solving, onboarding, and code reuse for future interview prep.
Activity
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Quality Metrics
Correctness96.4%
Maintainability89.4%
Architecture87.0%
Performance87.6%
AI Usage27.6%
Skills & Technologies
Programming Languages
Java
Technical Skills
AlgorithmAlgorithm DesignAlgorithm ImplementationAlgorithmsArray ManipulationBacktrackingBit ManipulationCombinatoricsData StructuresDepth First Search (DFS)Depth-First SearchDynamic ProgrammingGrid TraversalHash TableHashMap
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