OpenRA/OpenRA
Aug 2025 – Dec 2025
5 Months active
Languages Used
C#YAML
Technical Skills
AI DevelopmentAI ProgrammingBot DevelopmentC#Code RefactoringExpansion Logic
dnqbob
PROFILE
Dnqbob
Overall Statistics
Feature vs Bugs
60%Features
Repository Contributions
17Total
Bugs
6
Commits
17
Features
9
Lines of code
2,530
Activity Months5
Your Network
11 people
Work History
December 2025
1 Commits
Dec 1, 2025December 2025 monthly summary for OpenRA/OpenRA focused on AI efficiency and resource-aware behavior. Implemented a cash constraint on the AI builder expansion logic to prevent unnecessary expansions when cash is available, reducing wasted actions and tightening AI decision loops. The change was implemented in the BaseBuilderBotModule and committed with hash efa673d999783efdc64436c290fd7b59d274bb9b. Overall impact: improved AI competitiveness, reduced CPU/resource usage during decision making, and a cleaner, more maintainable AI expansion policy.
1 Commits
Dec 1, 2025December 2025 monthly summary for OpenRA/OpenRA focused on AI efficiency and resource-aware behavior. Implemented a cash constraint on the AI builder expansion logic to prevent unnecessary expansions when cash is available, reducing wasted actions and tightening AI decision loops. The change was implemented in the BaseBuilderBotModule and committed with hash efa673d999783efdc64436c290fd7b59d274bb9b. Overall impact: improved AI competitiveness, reduced CPU/resource usage during decision making, and a cleaner, more maintainable AI expansion policy.
December 2025
November 2025
5 Commits • 3 Features
Nov 1, 2025Monthly summary for 2025-11: This period delivered key OpenRA bot AI improvements focused on stability, accuracy of threat assessment, and resource management. Notable work includes crash fix for ProtectOwn, corrected threat parameter passing in GetNearbyIndicesThreat, enhanced enemy-base weighting to improve avoidance, automated production expansion on excess cash, and a cooldown-based bot repair system targeting damaged buildings. These changes improved bot reliability, strategic decision-making, resource efficiency, and maintenance responsiveness, translating into stronger defensive/offensive capabilities in game scenarios and lower crash-related downtime.
November 2025
5 Commits • 3 Features
Nov 1, 2025Monthly summary for 2025-11: This period delivered key OpenRA bot AI improvements focused on stability, accuracy of threat assessment, and resource management. Notable work includes crash fix for ProtectOwn, corrected threat parameter passing in GetNearbyIndicesThreat, enhanced enemy-base weighting to improve avoidance, automated production expansion on excess cash, and a cooldown-based bot repair system targeting damaged buildings. These changes improved bot reliability, strategic decision-making, resource efficiency, and maintenance responsiveness, translating into stronger defensive/offensive capabilities in game scenarios and lower crash-related downtime.
October 2025
4 Commits • 2 Features
Oct 1, 2025OpenRA project — October 2025 monthly summary. Focused on delivering core AI/bot improvements, stabilizing deployment logic, and refining resource management to boost defensive effectiveness and gameplay efficiency. The work emphasizes business value through faster defensive reactions, more reliable base expansion decisions, and stronger air threat avoidance, contributing to smoother play experience and improved player satisfaction.
4 Commits • 2 Features
Oct 1, 2025OpenRA project — October 2025 monthly summary. Focused on delivering core AI/bot improvements, stabilizing deployment logic, and refining resource management to boost defensive effectiveness and gameplay efficiency. The work emphasizes business value through faster defensive reactions, more reliable base expansion decisions, and stronger air threat avoidance, contributing to smoother play experience and improved player satisfaction.
October 2025
September 2025
4 Commits • 2 Features
Sep 1, 2025Monthly summary for 2025-09: Focused on precision in air unit operations, reliability of squad protections, and expansion of AI capabilities to manage power constraints. Delivered two major features, one reliability fix, and demonstrated robust cross-cutting engineering across gameplay logic and AI subsystems.
September 2025
4 Commits • 2 Features
Sep 1, 2025Monthly summary for 2025-09: Focused on precision in air unit operations, reliability of squad protections, and expansion of AI capabilities to manage power constraints. Delivered two major features, one reliability fix, and demonstrated robust cross-cutting engineering across gameplay logic and AI subsystems.
August 2025
3 Commits • 2 Features
Aug 1, 2025OpenRA monthly summary — 2025-08. Focused on AI feature enhancements and combat behavior refinements to improve resource efficiency, expansion speed, and defensive reliability. Implemented modular bot architecture for resource mapping and MCV expansion, refined refinery management and harvester re-tasking, and standardized production types. Refactored combat AI to use idle units for defense, added an attack-response cooldown, and ensured rush logic uses only available ground units. This work reduces resource waste, accelerates expansion, and improves squad cohesion in combat scenarios. Delivered through a lean set of commits and internal refactors, with clear groundwork for future scalability. Business value includes faster AI-driven resource flow, lower operational overhead, and more predictable performance in dynamic maps.
3 Commits • 2 Features
Aug 1, 2025OpenRA monthly summary — 2025-08. Focused on AI feature enhancements and combat behavior refinements to improve resource efficiency, expansion speed, and defensive reliability. Implemented modular bot architecture for resource mapping and MCV expansion, refined refinery management and harvester re-tasking, and standardized production types. Refactored combat AI to use idle units for defense, added an attack-response cooldown, and ensured rush logic uses only available ground units. This work reduces resource waste, accelerates expansion, and improves squad cohesion in combat scenarios. Delivered through a lean set of commits and internal refactors, with clear groundwork for future scalability. Business value includes faster AI-driven resource flow, lower operational overhead, and more predictable performance in dynamic maps.
August 2025
Activity
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Quality Metrics
Correctness84.2%
Maintainability81.2%
Architecture78.8%
Performance73.6%
AI Usage27.0%
Skills & Technologies
Programming Languages
C#YAML
Technical Skills
AIAI DevelopmentAI ProgrammingAI programmingBot DevelopmentBot ProgrammingC#Code RefactoringExpansion LogicGame AIGame DevelopmentPathfindingResource ManagementTrait SystemYAML configuration
Repositories Contributed To
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