
Contributed to the ADimoska/SOMASExtended repository by developing and refining agent-based systems focused on team allocation, agent lifecycle management, and consensus algorithms. Over two months, implemented features such as an orphan pool with voting-based team assignment, agent revival mechanisms, and Condorcet voting for decision-making. Enhanced reliability through targeted bug fixes, including null pointer prevention and improved logging accuracy. Expanded the team-based agent framework, introduced ranking and statistics pipelines, and established a foundation for test-driven development. Leveraged Go and YAML to build robust backend logic, emphasizing concurrency, data structure management, and comprehensive unit testing to ensure stability and maintainability.
December 2024 SOMASExtended: Delivered core AoA orchestration improvements, introduced Condorcet voting, expanded team-based agent framework, and strengthened reliability through testing and merge fixes. These efforts improved cross-team consensus, decision quality, and deployment velocity.
December 2024 SOMASExtended: Delivered core AoA orchestration improvements, introduced Condorcet voting, expanded team-based agent framework, and strengthened reliability through testing and merge fixes. These efforts improved cross-team consensus, decision quality, and deployment velocity.
2024-11 monthly summary for ADimoska/SOMASExtended focused on stabilizing agent lifecycle, improving team allocation fairness, and enabling test-driven quality improvements. Delivered an orphan pool mechanism with voting-based allocation, revival of dead agents at iteration start, and a basic testing scaffold to support future test coverage. Fixed critical stability issues in the kill path and corrected logging timing to reflect actual execution flow. This work reduces downtime, prevents orphaned agents from stalling operations, and improves overall reliability in production environments.
2024-11 monthly summary for ADimoska/SOMASExtended focused on stabilizing agent lifecycle, improving team allocation fairness, and enabling test-driven quality improvements. Delivered an orphan pool mechanism with voting-based allocation, revival of dead agents at iteration start, and a basic testing scaffold to support future test coverage. Fixed critical stability issues in the kill path and corrected logging timing to reflect actual execution flow. This work reduces downtime, prevents orphaned agents from stalling operations, and improves overall reliability in production environments.

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