SoarGroup/Soar
Apr 2025 – Apr 2025
1 Month active
Languages Used
C++Soar
Technical Skills
Build SystemsC++C++ DevelopmentCode RenamingCross-Platform DevelopmentGeospatial Calculations
jrkirk
PROFILE
Jrkirk
During April 2025, John Kirk enhanced the SoarGroup/Soar repository by implementing geospatial capabilities in the Soar kernel. He developed a Haversine RHS function in C++ to calculate distances between geographic points using latitude and longitude, enabling more accurate location-based reasoning for rule-based agents. John refactored related RHS functions for clarity, updated unit tests to reflect the new naming conventions, and adjusted the PI constant to ensure stable cross-platform builds, particularly on Windows. His work demonstrated depth in C++ development, cross-platform compatibility, and geospatial calculations, laying a solid foundation for future location-aware features within the Soar engine.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
1
Lines of code
181
Activity Months1
Your Network
187 people
Work History
April 2025
4 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for Soar (SoarGroup/Soar): Delivered geospatial capabilities to the kernel by adding a Haversine RHS function to compute distances between geographic points using latitude/longitude. Renamed related RHS functions for clarity and updated tests to use the new names. Adjusted the PI constant usage to ensure Windows builds remain stable. These changes enable accurate distance-based reasoning for agents, improve test coverage, and reduce platform-specific issues. Overall, the work enhances location-aware decision making and lays the groundwork for additional geospatial features in the Soar engine.
4 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for Soar (SoarGroup/Soar): Delivered geospatial capabilities to the kernel by adding a Haversine RHS function to compute distances between geographic points using latitude/longitude. Renamed related RHS functions for clarity and updated tests to use the new names. Adjusted the PI constant usage to ensure Windows builds remain stable. These changes enable accurate distance-based reasoning for agents, improve test coverage, and reduce platform-specific issues. Overall, the work enhances location-aware decision making and lays the groundwork for additional geospatial features in the Soar engine.
April 2025
Activity
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Quality Metrics
Correctness95.0%
Maintainability100.0%
Architecture95.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Soar
Technical Skills
Build SystemsC++C++ DevelopmentCode RenamingCross-Platform DevelopmentGeospatial CalculationsRefactoringRule-based SystemsSoarUnit Testing
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