UMKC-GDT/Dress-To-Aggress
Mar 2025 – Oct 2025
3 Months active
Languages Used
GDScriptText
Technical Skills
AI ProgrammingBehavioral ScriptingGame DevelopmentAI BehaviorAudio IntegrationGodot Engine
Temka
PROFILE
Temka
Temi worked on the UMKC-GDT/Dress-To-Aggress repository, focusing on AI opponent behavior, combat mechanics, and audio integration over a three-month period. Using GDScript and the Godot Engine, Temi enhanced AI decision-making by introducing dynamic action probabilities and modular behavior models, resulting in more responsive and unpredictable opponents. They implemented a scalable SFX system to expand combat audio feedback and integrated it into player and controller logic, improving immersion. Temi also developed a configurable AI difficulty UI and advanced AI combat features such as combo execution and exploit counters, contributing to a more balanced and engaging gameplay experience.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
4
Lines of code
1,521
Activity Months3
Your Network
9 people
Work History
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for UMKC-GDT/Dress-To-Aggress focused on delivering strategic AI opponent enhancements and combat balance to improve challenge, fairness, and player engagement. Key work centered on enabling configurable AI difficulty, advancing AI combat capabilities, and refining player feedback mechanics. While no major bugs were closed this month, the feature delivery advances the core gameplay loop and provides scalable foundations for future tuning.
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for UMKC-GDT/Dress-To-Aggress focused on delivering strategic AI opponent enhancements and combat balance to improve challenge, fairness, and player engagement. Key work centered on enabling configurable AI difficulty, advancing AI combat capabilities, and refining player feedback mechanics. While no major bugs were closed this month, the feature delivery advances the core gameplay loop and provides scalable foundations for future tuning.
October 2025
April 2025
7 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for UMKC-GDT/Dress-To-Aggress: Delivered core audio system enhancements and AI behavior balancing to improve player immersion, pacing, and replay value. Implemented a new SFX system (SFXManager) with expanded combat sounds (punches, kicks, blocks, misses, hits, and death), updated import settings, and integrated audio hooks into player and controller logic. Conducted AI balancing to reduce overall aggression while increasing reactiveness, adjusting kicking and blocking probabilities and aligning save-state implications. The work strengthens gameplay polish and sets the foundation for scalable audio and AI tuning in upcoming releases.
April 2025
7 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for UMKC-GDT/Dress-To-Aggress: Delivered core audio system enhancements and AI behavior balancing to improve player immersion, pacing, and replay value. Implemented a new SFX system (SFXManager) with expanded combat sounds (punches, kicks, blocks, misses, hits, and death), updated import settings, and integrated audio hooks into player and controller logic. Conducted AI balancing to reduce overall aggression while increasing reactiveness, adjusting kicking and blocking probabilities and aligning save-state implications. The work strengthens gameplay polish and sets the foundation for scalable audio and AI tuning in upcoming releases.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 – Delivered AI Opponent Combat Behavior Enhancement for Dress-To-Aggress. Implemented dynamic action probabilities and new decision conditions across core actions (approach, retreat, kick, punch, block, dash) to create a more dynamic, less predictable AI and improve combat responsiveness. The change is committed as ai adjustments (1d9bd2740e256021d4f700257792b15a91b05dfc). Result: enhanced player challenge, better balance, and potential for increased engagement and retention. No major bugs reported or fixed this period. Laying groundwork for future AI iterations with a modular probability model and targeted validation scenarios.
1 Commits • 1 Features
Mar 1, 2025March 2025 – Delivered AI Opponent Combat Behavior Enhancement for Dress-To-Aggress. Implemented dynamic action probabilities and new decision conditions across core actions (approach, retreat, kick, punch, block, dash) to create a more dynamic, less predictable AI and improve combat responsiveness. The change is committed as ai adjustments (1d9bd2740e256021d4f700257792b15a91b05dfc). Result: enhanced player challenge, better balance, and potential for increased engagement and retention. No major bugs reported or fixed this period. Laying groundwork for future AI iterations with a modular probability model and targeted validation scenarios.
March 2025
Activity
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Quality Metrics
Correctness83.0%
Maintainability82.0%
Architecture74.0%
Performance72.0%
AI Usage48.0%
Skills & Technologies
Programming Languages
GDScriptText
Technical Skills
AI BehaviorAI DevelopmentAI ProgrammingAudio IntegrationBehavioral AIBehavioral ScriptingCombat MechanicsGame DevelopmentGodot EngineScriptingUI Development
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