AsyncTI4/TI4_map_generator_bot
Jan 2025 – Jul 2026
4 Months active
Languages Used
JavaJSON
Technical Skills
Backend DevelopmentGame LogicJavaAPI developmentCode FormattingSoftware Maintenance
Wezabi
PROFILE
Wezabi
Worked on the AsyncTI4/TI4_map_generator_bot repository, delivering six features over four months focused on backend and game logic improvements. Enhanced fleet repair prioritization by refactoring Duranium Armor logic to preserve high-value units and optimize resource allocation. Developed new commands for displaying Garbozia action cards and expanded token support by updating JSON payloads. Introduced a structured BombardmentAssignment data model using Jackson for robust combat calculations and planet-specific filtering, while addressing edge cases in data parsing. Applied automated code formatting and refactoring to improve maintainability. Utilized Java, JSON manipulation, and unit testing to ensure reliable, maintainable, and data-driven backend systems.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
12Total
Bugs
0
Commits
12
Features
6
Lines of code
1,181
Activity Months4
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41 peopleShared Repositories
41
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Work History
July 2026
5 Commits • 1 Features
Jul 1, 2026July 2026 performance summary for AsyncTI4/TI4_map_generator_bot: Delivered a major enhancement to the bombardment subsystem by introducing a structured BombardmentAssignment JSON data model, refining combat calculations, and enabling planet-specific filtering of bombardment assignments. Implemented an overloaded helper for planet-specific galvanized unit counts to support balance tuning. Addressed edge cases by ensuring safe parsing when bombardment data is empty, and completed comprehensive code formatting and cleanup to improve maintainability. These changes reduce bombardment resolution errors, improve balance accuracy, and lay groundwork for future data-driven features.
5 Commits • 1 Features
Jul 1, 2026July 2026 performance summary for AsyncTI4/TI4_map_generator_bot: Delivered a major enhancement to the bombardment subsystem by introducing a structured BombardmentAssignment JSON data model, refining combat calculations, and enabling planet-specific filtering of bombardment assignments. Implemented an overloaded helper for planet-specific galvanized unit counts to support balance tuning. Addressed edge cases by ensuring safe parsing when bombardment data is empty, and completed comprehensive code formatting and cleanup to improve maintainability. These changes reduce bombardment resolution errors, improve balance accuracy, and lay groundwork for future data-driven features.
July 2026
April 2026
3 Commits • 2 Features
Apr 1, 2026April 2026 monthly summary for AsyncTI4/TI4_map_generator_bot focused on delivering maintainable improvements and expanded token coverage. Key changes include refactoring Garbozia Action Card handling to a dedicated data extraction method, moving action card data to WebEntityData, and enhancing code readability and future maintainability. Additionally, the token catalog was expanded with Glory2 and Glory3 by updating the ds.json payload, broadening the set of supported tokens for the application.
April 2026
3 Commits • 2 Features
Apr 1, 2026April 2026 monthly summary for AsyncTI4/TI4_map_generator_bot focused on delivering maintainable improvements and expanded token coverage. Key changes include refactoring Garbozia Action Card handling to a dedicated data extraction method, moving action card data to WebEntityData, and enhancing code readability and future maintainability. Additionally, the token catalog was expanded with Glory2 and Glory3 by updating the ds.json payload, broadening the set of supported tokens for the application.
March 2026
3 Commits • 2 Features
Mar 1, 2026March 2026: Delivered a key feature to display Garbozia action cards and updated supporting web data structures. Completed internal maintenance to improve observability and maintainability by re-enabling development logging in AsyncTi4WebsiteHelper and applying automated code formatting. No major defects closed this month; focus was on feature delivery and internal quality. Impact includes improved user-facing visibility of Garbozia cards, enhanced debugging capabilities, and a more maintainable codebase.
3 Commits • 2 Features
Mar 1, 2026March 2026: Delivered a key feature to display Garbozia action cards and updated supporting web data structures. Completed internal maintenance to improve observability and maintainability by re-enabling development logging in AsyncTi4WebsiteHelper and applying automated code formatting. No major defects closed this month; focus was on feature delivery and internal quality. Impact includes improved user-facing visibility of Garbozia cards, enhanced debugging capabilities, and a more maintainable codebase.
March 2026
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for AsyncTI4/TI4_map_generator_bot. Delivered a strategic enhancement to the Duranium Armor repair workflow to improve fleet preservation and repair efficiency. Key improvements include a value-based repair prioritization, a new comparator for sorting repairable units by importance, and adjusted repair conditions to avoid repairing units that would be destroyed, thereby preserving high-value assets and optimizing repair resources. This release strengthens decision-making, reduces waste, and supports long-term fleet optimization. Overall impact: enhanced fleet survivability and operational efficiency through smarter repair allocation; groundwork laid for further automation and prioritization improvements.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for AsyncTI4/TI4_map_generator_bot. Delivered a strategic enhancement to the Duranium Armor repair workflow to improve fleet preservation and repair efficiency. Key improvements include a value-based repair prioritization, a new comparator for sorting repairable units by importance, and adjusted repair conditions to avoid repairing units that would be destroyed, thereby preserving high-value assets and optimizing repair resources. This release strengthens decision-making, reduces waste, and supports long-term fleet optimization. Overall impact: enhanced fleet survivability and operational efficiency through smarter repair allocation; groundwork laid for further automation and prioritization improvements.
Activity
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Quality Metrics
Correctness90.8%
Maintainability91.8%
Architecture90.0%
Performance86.8%
AI Usage38.4%
Skills & Technologies
Programming Languages
JSONJava
Technical Skills
API developmentBackend DevelopmentCode FormattingGame LogicJSON DeserializationJSON manipulationJacksonJavaRefactoringSoftware DevelopmentSoftware MaintenanceUnit Testingback end developmentbackend developmentdata management
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