GamesCrafters/GamesmanClassic
Nov 2024 – Nov 2024
1 Month active
Languages Used
C
Technical Skills
Algorithm DesignAlgorithm ImplementationC ProgrammingData StructuresGame Development
michael-wsp
PROFILE
Michael-wsp
Michael Spivak worked on the GamesCrafters/GamesmanClassic repository, delivering a foundational overhaul of the game’s state encoding and move generation logic. He refactored the position encoding to include player turn information and streamlined the hashing and unhashing processes, improving correctness and maintainability. Using C and applying skills in algorithm design and data structures, Michael addressed edge cases in move input parsing, particularly for boards with multiple blank spaces, reducing the risk of illegal moves. His work enhanced the reliability of game state management and established a robust groundwork for future AI integration and performance optimizations within the codebase.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
1
Lines of code
135
Activity Months1
Your Network
184 people
Work History
November 2024
4 Commits • 1 Features
Nov 1, 2024November 2024 performance summary for GamesmanClassic: Delivered a major state-encoding overhaul and robust move generation, improving correctness, maintainability, and groundwork for future enhancements. Key outcomes include an encoding overhaul that incorporates player turn and simplified hashing/unhashing, and fixes to move generation and input parsing handling edge cases such as multiple blank spaces. These changes reduce risk of illegal moves, improve reliability, and lay groundwork for future AI and performance optimizations. Demonstrated strong skills in refactoring, algorithmic thinking, and debugging under real-game constraints.
4 Commits • 1 Features
Nov 1, 2024November 2024 performance summary for GamesmanClassic: Delivered a major state-encoding overhaul and robust move generation, improving correctness, maintainability, and groundwork for future enhancements. Key outcomes include an encoding overhaul that incorporates player turn and simplified hashing/unhashing, and fixes to move generation and input parsing handling edge cases such as multiple blank spaces. These changes reduce risk of illegal moves, improve reliability, and lay groundwork for future AI and performance optimizations. Demonstrated strong skills in refactoring, algorithmic thinking, and debugging under real-game constraints.
November 2024
Activity
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Quality Metrics
Correctness82.6%
Maintainability80.0%
Architecture70.0%
Performance75.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C
Technical Skills
Algorithm DesignAlgorithm ImplementationC ProgrammingData StructuresGame Development
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