DaleStudy/leetcode-study
Mar 2026 – Mar 2026
1 Month active
Languages Used
C++
Technical Skills
C++C++ programmingalgorithm designalgorithm developmentdata structuresdynamic programming
DongHun
PROFILE
Donghun
During March 2026, Dale contributed to the DaleStudy/leetcode-study repository by developing three core algorithmic features in C++. He implemented an Anagram Checker using three distinct approaches—two-array, one-array, and unordered-map—to balance speed and memory usage, refining edge-case handling for greater reliability. Dale also built an Array Duplicate Detection solution leveraging unordered_set for O(n) performance, addressing efficiency in data structure operations. Additionally, he delivered a Climbing Stairs dynamic programming solver with an optimized approach. His work emphasized reusable algorithm patterns and improved test coverage, supporting faster practice workflows and robust solutions for common interview preparation scenarios.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
323
Activity Months1
Your Network
289 peopleWork History
March 2026
4 Commits • 3 Features
Mar 1, 2026March 2026 performance highlights for DaleStudy/leetcode-study: Delivered three core algorithm features with a focus on speed, scalability, and reusability. Implemented an Anagram Checker with three approaches to balance time and space, refined edge-case handling for valid-anagram; added an Array Duplicate Detection solution with O(n) performance using an unordered set; completed a Climbing Stairs DP Solver with an optimized dynamic-programming approach. Minor refinements to existing logic improved reliability and test coverage. Result: faster, scalable algorithms that serve as reusable patterns for interview prep, enabling quicker practice and more robust solutions across problem domains.
4 Commits • 3 Features
Mar 1, 2026March 2026 performance highlights for DaleStudy/leetcode-study: Delivered three core algorithm features with a focus on speed, scalability, and reusability. Implemented an Anagram Checker with three approaches to balance time and space, refined edge-case handling for valid-anagram; added an Array Duplicate Detection solution with O(n) performance using an unordered set; completed a Climbing Stairs DP Solver with an optimized dynamic-programming approach. Minor refinements to existing logic improved reliability and test coverage. Result: faster, scalable algorithms that serve as reusable patterns for interview prep, enabling quicker practice and more robust solutions across problem domains.
March 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability85.0%
Architecture85.0%
Performance95.0%
AI Usage35.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++C++ programmingalgorithm designalgorithm developmentdata structuresdynamic programming
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