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
Worked on the SoarGroup/Soar repository to deliver geospatial capabilities within the Soar kernel, implementing a Haversine RHS function in C++ to calculate distances between geographic points using latitude and longitude. The approach included renaming related RHS functions for improved clarity and updating unit tests to reflect these changes, ensuring consistency across the codebase. Adjustments to the PI constant usage were made to enhance cross-platform compatibility, particularly for Windows builds. This work leveraged skills in C++ development, build systems, and cross-platform engineering, enabling accurate distance-based reasoning for agents and laying the foundation for future geospatial features in Soar.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
1
Lines of code
181
Activity Months1
Your Network
223 peopleSame Organization
@umich.edu217
Avionics CompMember
Colten GMember
Almo-oMember
Alexander SmartMember
Abby DukeMember
Adam DiehlMember
adfarthMember
Alex HansenMember
Ali DowairMember
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
Repositories Contributed To
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