sgubar/2025
Feb 2025 – Jun 2025
5 Months active
Languages Used
CDraw.ioXMLC++Markdown
Technical Skills
Array ManipulationC ProgrammingDynamic Memory AllocationFile ManagementFunction DeclarationHeader File Creation
mikitadk41
PROFILE
Mikitadk41
Dmytro Kohan developed a suite of modular data structure and graphics libraries for the sgubar/2025 repository, focusing on reusable C and C++ components for array manipulation, binary trees, and OpenGL-based 2D rendering. He established maintainable architectures with clear header/source separation, robust memory management, and public APIs, enabling rapid feature iteration and safe integration. His work included dynamic binary search tree and linked list modules, as well as a shape management system for graphics applications. By emphasizing documentation, code clarity, and testable usage examples, Dmytro delivered foundational tooling that accelerates onboarding and supports scalable, reliable software development across multiple domains.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
48Total
Bugs
0
Commits
48
Features
16
Lines of code
3,360
Activity Months5
Your Network
16 people
Work History
June 2025
8 Commits • 1 Features
Jun 1, 2025June 2025 Performance Summary for sgubar/2025 Focus: Deliver foundational OpenGL graphics lab scaffolding, core shape data structures, and project ecosystems to enable rapid iteration on 2D/3D rendering features. Approach: Implement a modular C++ codebase with clear separation of concerns, maintainable build/readme documentation, and groundwork for a doubly linked list of shapes to support scalable scene management.
8 Commits • 1 Features
Jun 1, 2025June 2025 Performance Summary for sgubar/2025 Focus: Deliver foundational OpenGL graphics lab scaffolding, core shape data structures, and project ecosystems to enable rapid iteration on 2D/3D rendering features. Approach: Implement a modular C++ codebase with clear separation of concerns, maintainable build/readme documentation, and groundwork for a doubly linked list of shapes to support scalable scene management.
June 2025
May 2025
6 Commits • 1 Features
May 1, 2025May 2025: Delivered a reusable binary tree library (labtree) in sgubar/2025, with labtree.h and labtree.c, plus a main.c example illustrating insertion, traversal, search, and delete, and tests for full-tree deletion. This establishes a solid data-structure foundation with concrete, testable usage demonstrated in the codebase.
May 2025
6 Commits • 1 Features
May 1, 2025May 2025: Delivered a reusable binary tree library (labtree) in sgubar/2025, with labtree.h and labtree.c, plus a main.c example illustrating insertion, traversal, search, and delete, and tests for full-tree deletion. This establishes a solid data-structure foundation with concrete, testable usage demonstrated in the codebase.
April 2025
3 Commits • 1 Features
Apr 1, 2025In April 2025, delivered a reusable Dynamic Binary Search Tree (dztree) library for sgubar/2025, with a complete API surface and a practical usage demo. The work establishes a foundation for efficient ordered data handling in C, enabling creation, insertion, deletion, searching, traversal, and deallocation, demonstrated via a runnable main program. No major bugs were reported this month; focus was on delivering a robust data-structure library and a demonstrable integration path that can accelerate future feature delivery. This adds business value by enabling faster, reliable data organization and easier reuse across projects, while improving code quality through modular API design and clear usage examples. Technically, the work showcases solid C programming, memory management, API design, and repository hygiene through well-structured header/source separation and a concrete usage demo.
3 Commits • 1 Features
Apr 1, 2025In April 2025, delivered a reusable Dynamic Binary Search Tree (dztree) library for sgubar/2025, with a complete API surface and a practical usage demo. The work establishes a foundation for efficient ordered data handling in C, enabling creation, insertion, deletion, searching, traversal, and deallocation, demonstrated via a runnable main program. No major bugs were reported this month; focus was on delivering a robust data-structure library and a demonstrable integration path that can accelerate future feature delivery. This adds business value by enabling faster, reliable data organization and easier reuse across projects, while improving code quality through modular API design and clear usage examples. Technically, the work showcases solid C programming, memory management, API design, and repository hygiene through well-structured header/source separation and a concrete usage demo.
April 2025
March 2025
23 Commits • 8 Features
Mar 1, 2025March 2025 monthly summary for sgubar/2025 focused on delivering a solid, modular core architecture in C with a public API in place, enabling rapid feature growth and robust integration.
March 2025
23 Commits • 8 Features
Mar 1, 2025March 2025 monthly summary for sgubar/2025 focused on delivering a solid, modular core architecture in C with a public API in place, enabling rapid feature growth and robust integration.
February 2025
8 Commits • 5 Features
Feb 1, 2025February 2025 monthly summary for repository sgubar/2025. Delivered the foundational work that establishes a maintainable, testable baseline for array manipulation utilities and related tooling, enabling rapid feature iteration and safer memory management. Focused on documenting project intent, building a modular core, and cleaning up the codebase to improve readability and onboarding.
8 Commits • 5 Features
Feb 1, 2025February 2025 monthly summary for repository sgubar/2025. Delivered the foundational work that establishes a maintainable, testable baseline for array manipulation utilities and related tooling, enabling rapid feature iteration and safer memory management. Focused on documenting project intent, building a modular core, and cleaning up the codebase to improve readability and onboarding.
February 2025
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Quality Metrics
Correctness84.0%
Maintainability84.2%
Architecture78.6%
Performance81.2%
AI Usage22.6%
Skills & Technologies
Programming Languages
CC++Draw.ioMarkdownXML
Technical Skills
2D GraphicsAlgorithm ImplementationAlgorithm VisualizationArray ManipulationBasic C ProgrammingBinary Search TreesBinary TreesC ProgrammingC programmingCode CleanupData Structure DefinitionData StructuresDiagrammingDocumentationDynamic Memory Allocation
Repositories Contributed To
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