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afellowcorn

PROFILE

Afellowcorn

Contributed to the ClanGenOfficial/clangen repository by developing and refining core gameplay features using Python and object-oriented programming. Enhanced the medicine apprentice assignment logic to prioritize age, improving mentorship accuracy and early-game balance. Introduced customizable injury modeling by adding an optional parameter for potential scars, refactoring data structures for consistency, and updating related documentation. Improved breeding dynamics by implementing separate controls for affair and unmated parentage, increasing realism in relationship behavior. Focused on backend development and data structure management, the work also included targeted bug fixes, test reliability improvements, and codebase maintainability, resulting in more robust and flexible game logic for developers and players.

Overall Statistics

Feature vs Bugs

75%Features

Repository Contributions

7Total
Bugs
1
Commits
7
Features
3
Lines of code
190
Activity Months2

Work History

March 2026

3 Commits • 1 Features

Mar 1, 2026

March 2026 performance summary for ClanGenOfficial/clangen. Implemented enhancements to cat breeding controls and stability improvements across breeding logic and tests. The work sharpens realism in relationship dynamics, improves reliability of breeding behavior, and enhances maintainability and developer velocity.

February 2026

4 Commits • 2 Features

Feb 1, 2026

February 2026 performance summary for ClanGenOfficial/clangen. Delivered two core feature enhancements focused on gameplay balance and robustness, with accompanying quality improvements. The Medicine Apprentice Assignment Logic Enhancement reorders elder medic conditions to favor age-informed apprentice selection, improving mentorship accuracy and early-game balance. The Injury System Enhancements and Robustness introduce an optional potential_scars parameter to the Injury model, refactor injury data keys for consistency, update related methods/docs, and ensure scar retrieval uses default values to prevent edge-case failures. Additional QA efforts included targeted test fixes and formatting improvements, along with documentation updates to reflect the new injury customization capabilities. Overall, these changes reduce edge-case brittleness, improve maintainability, and deliver tangible gameplay and modeling improvements for players and developers.

Activity

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Quality Metrics

Correctness94.4%
Maintainability91.4%
Architecture91.4%
Performance91.4%
AI Usage20.0%

Skills & Technologies

Programming Languages

JSONPythonTOML

Technical Skills

PythonPython programmingbackend developmentdata structure managementgame developmentlogic implementationobject-oriented programmingsoftware testingunit testing

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

ClanGenOfficial/clangen

Feb 2026 Mar 2026
2 Months active

Languages Used

JSONPythonTOML

Technical Skills

PythonPython programmingbackend developmentdata structure managementgame developmentlogic implementation