rh-hideout/pokeemerald-expansion
Nov 2025 – Nov 2025
1 Month active
Languages Used
C
Technical Skills
AI programmingC programmingalgorithm designalgorithm optimizationbattle mechanicscode refactoring
Martin Griffin
PROFILE
Martin Griffin
Worked on the rh-hideout/pokeemerald-expansion repository to enhance battle AI and breeding logic in a C-based game engine. Delivered a new DamageContext field to distinguish between executed and chosen moves, enabling smarter AI decision-making and more reliable battle mechanics. Addressed edge cases in egg generation by restricting species selection to enabled options, improving breeding correctness. Fixed bugs related to illegal battler access, unavailable moves, and rendering stability, reducing crash vectors and increasing overall reliability. Applied skills in AI programming, algorithm optimization, and code refactoring to ensure maintainable, robust systems, with a focus on defensive programming and debugging complex game logic.
Overall Statistics
Feature vs Bugs
33%Features
Repository Contributions
10Total
Bugs
2
Commits
10
Features
1
Lines of code
138
Activity Months1
Your Network
67 peopleWork History
November 2025
10 Commits • 1 Features
Nov 1, 2025Month: 2025-11 — Delivered key enhancements to battle AI and breeding logic with a focus on stability and reliability. Key features delivered include a new DamageContext field and smarter AI decision pathways, and breeding safety improvements. Major bugs fixed span battle stability, rendering safeguards, and egg-generation logic, leading to a more robust experience for both battles and breeding. Overall impact: higher reliability in battles, fewer crash vectors, and improved correctness in egg genetics. Technologies/skills demonstrated include C/C++ battle engine work, defensive programming, AI decision-making, debugging edge cases, and refactoring for maintainability.
10 Commits • 1 Features
Nov 1, 2025Month: 2025-11 — Delivered key enhancements to battle AI and breeding logic with a focus on stability and reliability. Key features delivered include a new DamageContext field and smarter AI decision pathways, and breeding safety improvements. Major bugs fixed span battle stability, rendering safeguards, and egg-generation logic, leading to a more robust experience for both battles and breeding. Overall impact: higher reliability in battles, fewer crash vectors, and improved correctness in egg genetics. Technologies/skills demonstrated include C/C++ battle engine work, defensive programming, AI decision-making, debugging edge cases, and refactoring for maintainability.
November 2025
Activity
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Quality Metrics
Correctness92.0%
Maintainability86.0%
Architecture86.0%
Performance86.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
C
Technical Skills
AI programmingC programmingalgorithm designalgorithm optimizationbattle mechanicscode refactoringgame development
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