uprm-inso4117-2024-2025-s2/semester-project-briscas
Mar 2025 – May 2025
3 Months active
Languages Used
JavaScript
Technical Skills
AI DevelopmentBackend DevelopmentGame DevelopmentJavaScriptNode.jsRefactoring
IvanierB
PROFILE
Ivanierb
Ivanier Bellido contributed to the uprm-inso4117-2024-2025-s2/semester-project-briscas repository by developing and refining core game logic, AI decision-making, and robust multiplayer session management. He implemented an AI engine that evaluates the current game state to select the lowest-value card, improving predictability and reliability. Using JavaScript and Node.js, Ivanier expanded automated test coverage with Mocha/Chai, covering AI modes, game flow, and multiplayer connection dynamics. He also introduced JSDoc documentation with preconditions and postconditions for critical methods, enhancing maintainability. His work reduced regression risk, improved code contracts, and ensured more reliable online play through resilient session and connection handling.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
4
Lines of code
2,625
Activity Months3
Your Network
188 people
Work History
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 highlights: Strengthened reliability and maintainability for the Briscas project by introducing comprehensive unit tests and JSDoc documentation for core game logic and AI, including preconditions and postconditions for critical methods. Expanded test coverage across deck management, game flow, winner determination, and AI behavior, as captured in the commit 76cb5a9383b361397a9f77e39b746274e0e6028d. These changes reduce regression risk, improve code contracts, and accelerate future feature work.
1 Commits • 1 Features
May 1, 2025May 2025 highlights: Strengthened reliability and maintainability for the Briscas project by introducing comprehensive unit tests and JSDoc documentation for core game logic and AI, including preconditions and postconditions for critical methods. Expanded test coverage across deck management, game flow, winner determination, and AI behavior, as captured in the commit 76cb5a9383b361397a9f77e39b746274e0e6028d. These changes reduce regression risk, improve code contracts, and accelerate future feature work.
May 2025
April 2025
3 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for uprm-inso4117-2024-2025-s2/semester-project-briscas: Delivered robust multiplayer session management with pause/resume, enhanced player connection status tracking, and improved resilience to disconnections/reconnections. Added automated tests for connection dynamics to validate session robustness and reduce live-scale incidents. Impact includes more reliable online play, better user retention, and clearer debugging signals for multiplayer edge cases.
April 2025
3 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for uprm-inso4117-2024-2025-s2/semester-project-briscas: Delivered robust multiplayer session management with pause/resume, enhanced player connection status tracking, and improved resilience to disconnections/reconnections. Added automated tests for connection dynamics to validate session robustness and reduce live-scale incidents. Impact includes more reliable online play, better user retention, and clearer debugging signals for multiplayer edge cases.
March 2025
3 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for uprm-inso4117-2024-2025-s2/semester-project-briscas: AI improvements and expanded testing coverage that enhance gameplay reliability and QA efficiency. The AI decision engine now consumes the current game state and consistently selects the lowest-value card, improving predictability in decision-making. Expanded automated testing with Mocha/Chai across Easy and Hard modes, including a gamestate-aware AIEasy test and AIHard tests, with targeted fixes to ensure test reliability. These changes reduce bug risk in live play and accelerate validation of AI behavior.
3 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for uprm-inso4117-2024-2025-s2/semester-project-briscas: AI improvements and expanded testing coverage that enhance gameplay reliability and QA efficiency. The AI decision engine now consumes the current game state and consistently selects the lowest-value card, improving predictability in decision-making. Expanded automated testing with Mocha/Chai across Easy and Hard modes, including a gamestate-aware AIEasy test and AIHard tests, with targeted fixes to ensure test reliability. These changes reduce bug risk in live play and accelerate validation of AI behavior.
March 2025
Activity
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Quality Metrics
Correctness88.6%
Maintainability82.8%
Architecture82.8%
Performance74.2%
AI Usage25.8%
Skills & Technologies
Programming Languages
JavaScript
Technical Skills
AI DevelopmentAI LogicBackend DevelopmentGame DevelopmentJSDocJavaScriptNode.jsRefactoringSocket.IOTestingUnit TestingWebSocket
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